{smcl}
{com}{sf}{ul off}{txt}{.-}
      name:  {res}<unnamed>
       {txt}log:  {res}D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\do and log-files2\Tables 1 to 3, Figure 2, Appendixes 1 to 5, and Appendix Figure 1\female bombers and hard targets, log-fle.smcl
  {txt}log type:  {res}smcl
 {txt}opened on:  {res}16 Mar 2025, 07:30:08

{com}. do "D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\do and log-files2\Tables 1 to 3, Figure 2, Appendixes 1 to 5, and Appendix Figure 1\female bombers and hard targets, do-file.do"
{txt}
{com}. * March 16, 2025
. 
. set matsize 150 
{txt}
{com}. set more off
{txt}
{com}. 
. use "D:\10022024\research, journal papers\suicide terrorism and hard targets\replication materials\data\Tables 1 to 3, Figure 2, Appendixes 1 to 5, and Appendix Figure 1\SAND.dta", clear
{txt}
{com}.          
. 
.          
.          
. ***** Table 1 *****
. 
. sum hardtarget female religious_conflict Muslim_organization foreign_organization f_occupation iraqsyria 

{txt}    Variable {c |}        Obs        Mean    Std. Dev.       Min        Max
{hline 13}{c +}{hline 57}
{space 2}hardtarget {c |}{res}      6,127    .6445242    .4786963          0          1
{txt}{space 6}female {c |}{res}      6,127      .04929    .2164906          0          1
{txt}religious_~t {c |}{res}      6,127    .9286764    .2573857          0          1
{txt}Muslim_org~n {c |}{res}      6,127    .9027256    .2963552          0          1
{txt}foreign_or~n {c |}{res}      6,127    .4467113    .4971928          0          1
{txt}{hline 13}{c +}{hline 57}
f_occupation {c |}{res}      6,127     .402644    .4904703          0          1
{txt}{space 3}iraqsyria {c |}{res}      6,127    .4343072    .4957061          0          1
{txt}
{com}. 
. 
. 
. 
. sort year
{txt}
{com}. tab year, gen (yr)

       {txt}year {c |}      Freq.     Percent        Cum.
{hline 12}{c +}{hline 35}
       1980 {c |}{res}          1        0.02        0.02
{txt}       1981 {c |}{res}          1        0.02        0.03
{txt}       1982 {c |}{res}          1        0.02        0.05
{txt}       1983 {c |}{res}          8        0.13        0.18
{txt}       1984 {c |}{res}          4        0.07        0.24
{txt}       1985 {c |}{res}         33        0.54        0.78
{txt}       1986 {c |}{res}          3        0.05        0.83
{txt}       1987 {c |}{res}          3        0.05        0.88
{txt}       1988 {c |}{res}          2        0.03        0.91
{txt}       1989 {c |}{res}          3        0.05        0.96
{txt}       1990 {c |}{res}          3        0.05        1.01
{txt}       1991 {c |}{res}          5        0.08        1.09
{txt}       1992 {c |}{res}          2        0.03        1.13
{txt}       1993 {c |}{res}         14        0.23        1.35
{txt}       1994 {c |}{res}         12        0.20        1.55
{txt}       1995 {c |}{res}         35        0.57        2.12
{txt}       1996 {c |}{res}         21        0.34        2.46
{txt}       1997 {c |}{res}         16        0.26        2.73
{txt}       1998 {c |}{res}         32        0.52        3.25
{txt}       1999 {c |}{res}         26        0.42        3.67
{txt}       2000 {c |}{res}         44        0.72        4.39
{txt}       2001 {c |}{res}         77        1.26        5.65
{txt}       2002 {c |}{res}         89        1.45        7.10
{txt}       2003 {c |}{res}        124        2.02        9.12
{txt}       2004 {c |}{res}        229        3.74       12.86
{txt}       2005 {c |}{res}        475        7.75       20.61
{txt}       2006 {c |}{res}        433        7.07       27.68
{txt}       2007 {c |}{res}        619       10.10       37.78
{txt}       2008 {c |}{res}        458        7.48       45.26
{txt}       2009 {c |}{res}        337        5.50       50.76
{txt}       2010 {c |}{res}        338        5.52       56.28
{txt}       2011 {c |}{res}        245        4.00       60.27
{txt}       2012 {c |}{res}        265        4.33       64.60
{txt}       2013 {c |}{res}        420        6.85       71.45
{txt}       2014 {c |}{res}        450        7.34       78.80
{txt}       2015 {c |}{res}        640       10.45       89.24
{txt}       2016 {c |}{res}        659       10.76      100.00
{txt}{hline 12}{c +}{hline 35}
      Total {c |}{res}      6,127      100.00
{txt}
{com}. * some year dummies omitted due to collinearity
. 
. 
. 
. 
. ***** Table 2 *****
. 
. logit hardtarget       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3886.1357}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3885.8597}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3885.8597}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    198.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3885.8597{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  hardtarget{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}{col 14}{res}{space 2}-.8842057{col 26}{space 2}  .122688{col 37}{space 1}   -7.21{col 46}{space 3}0.000{col 54}{space 4} -1.12467{col 67}{space 3}-.6437417
{txt}{space 9}yr6 {c |}{col 14}{res}{space 2}-.4353168{col 26}{space 2} .3805499{col 37}{space 1}   -1.14{col 46}{space 3}0.253{col 54}{space 4}-1.181181{col 67}{space 3} .3105473
{txt}{space 9}yr7 {c |}{col 14}{res}{space 2}-.9585285{col 26}{space 2} 1.172081{col 37}{space 1}   -0.82{col 46}{space 3}0.413{col 54}{space 4}-3.255766{col 67}{space 3} 1.338709
{txt}{space 9}yr8 {c |}{col 14}{res}{space 2} .7857907{col 26}{space 2}  1.17298{col 37}{space 1}    0.67{col 46}{space 3}0.503{col 54}{space 4}-1.513208{col 67}{space 3} 3.084789
{txt}{space 8}yr14 {c |}{col 14}{res}{space 2}-.2407897{col 26}{space 2} .5459241{col 37}{space 1}   -0.44{col 46}{space 3}0.659{col 54}{space 4}-1.310781{col 67}{space 3} .8292019
{txt}{space 8}yr15 {c |}{col 14}{res}{space 2}-.1919995{col 26}{space 2} .5909585{col 37}{space 1}   -0.32{col 46}{space 3}0.745{col 54}{space 4}-1.350257{col 67}{space 3} .9662578
{txt}{space 8}yr16 {c |}{col 14}{res}{space 2} .4166854{col 26}{space 2} .3886431{col 37}{space 1}    1.07{col 46}{space 3}0.284{col 54}{space 4} -.345041{col 67}{space 3} 1.178412
{txt}{space 8}yr17 {c |}{col 14}{res}{space 2} .3489265{col 26}{space 2} .5182532{col 37}{space 1}    0.67{col 46}{space 3}0.501{col 54}{space 4}-.6668312{col 67}{space 3} 1.364684
{txt}{space 8}yr18 {c |}{col 14}{res}{space 2}-.5284717{col 26}{space 2} .5063197{col 37}{space 1}   -1.04{col 46}{space 3}0.297{col 54}{space 4} -1.52084{col 67}{space 3} .4638966
{txt}{space 8}yr19 {c |}{col 14}{res}{space 2} .0992298{col 26}{space 2} .3907913{col 37}{space 1}    0.25{col 46}{space 3}0.800{col 54}{space 4}-.6667072{col 67}{space 3} .8651668
{txt}{space 8}yr20 {c |}{col 14}{res}{space 2} .7413254{col 26}{space 2} .4887906{col 37}{space 1}    1.52{col 46}{space 3}0.129{col 54}{space 4}-.2166865{col 67}{space 3} 1.699337
{txt}{space 8}yr21 {c |}{col 14}{res}{space 2} .5451204{col 26}{space 2} .3566791{col 37}{space 1}    1.53{col 46}{space 3}0.126{col 54}{space 4}-.1539579{col 67}{space 3} 1.244199
{txt}{space 8}yr22 {c |}{col 14}{res}{space 2} -.616093{col 26}{space 2}   .24243{col 37}{space 1}   -2.54{col 46}{space 3}0.011{col 54}{space 4}-1.091247{col 67}{space 3}-.1409389
{txt}{space 8}yr23 {c |}{col 14}{res}{space 2}-1.072001{col 26}{space 2} .2393389{col 37}{space 1}   -4.48{col 46}{space 3}0.000{col 54}{space 4}-1.541097{col 67}{space 3}-.6029052
{txt}{space 8}yr24 {c |}{col 14}{res}{space 2}-.1159554{col 26}{space 2} .2016721{col 37}{space 1}   -0.57{col 46}{space 3}0.565{col 54}{space 4}-.5112254{col 67}{space 3} .2793146
{txt}{space 8}yr25 {c |}{col 14}{res}{space 2} .4064312{col 26}{space 2} .1666609{col 37}{space 1}    2.44{col 46}{space 3}0.015{col 54}{space 4} .0797818{col 67}{space 3} .7330805
{txt}{space 8}yr26 {c |}{col 14}{res}{space 2} .2591786{col 26}{space 2} .1271958{col 37}{space 1}    2.04{col 46}{space 3}0.042{col 54}{space 4} .0098794{col 67}{space 3} .5084777
{txt}{space 8}yr27 {c |}{col 14}{res}{space 2} .3379669{col 26}{space 2} .1321731{col 37}{space 1}    2.56{col 46}{space 3}0.011{col 54}{space 4} .0789124{col 67}{space 3} .5970215
{txt}{space 8}yr28 {c |}{col 14}{res}{space 2} .4158641{col 26}{space 2} .1195576{col 37}{space 1}    3.48{col 46}{space 3}0.001{col 54}{space 4} .1815356{col 67}{space 3} .6501927
{txt}{space 8}yr29 {c |}{col 14}{res}{space 2}  .322417{col 26}{space 2} .1280174{col 37}{space 1}    2.52{col 46}{space 3}0.012{col 54}{space 4} .0715074{col 67}{space 3} .5733265
{txt}{space 8}yr30 {c |}{col 14}{res}{space 2}   .47241{col 26}{space 2} .1453003{col 37}{space 1}    3.25{col 46}{space 3}0.001{col 54}{space 4} .1876266{col 67}{space 3} .7571934
{txt}{space 8}yr31 {c |}{col 14}{res}{space 2}-.0866262{col 26}{space 2} .1372677{col 37}{space 1}   -0.63{col 46}{space 3}0.528{col 54}{space 4}-.3556659{col 67}{space 3} .1824136
{txt}{space 8}yr32 {c |}{col 14}{res}{space 2} .3767922{col 26}{space 2} .1626747{col 37}{space 1}    2.32{col 46}{space 3}0.021{col 54}{space 4} .0579557{col 67}{space 3} .6956287
{txt}{space 8}yr33 {c |}{col 14}{res}{space 2} .2155811{col 26}{space 2} .1537365{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4} -.085737{col 67}{space 3} .5168992
{txt}{space 8}yr34 {c |}{col 14}{res}{space 2} .1761611{col 26}{space 2} .1302955{col 37}{space 1}    1.35{col 46}{space 3}0.176{col 54}{space 4}-.0792135{col 67}{space 3} .4315357
{txt}{space 8}yr35 {c |}{col 14}{res}{space 2}-.0438365{col 26}{space 2} .1250545{col 37}{space 1}   -0.35{col 46}{space 3}0.726{col 54}{space 4}-.2889388{col 67}{space 3} .2012659
{txt}{space 8}yr36 {c |}{col 14}{res}{space 2}-.3459535{col 26}{space 2} .1118621{col 37}{space 1}   -3.09{col 46}{space 3}0.002{col 54}{space 4}-.5651991{col 67}{space 3}-.1267078
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5284717{col 26}{space 2} .0794909{col 37}{space 1}    6.65{col 46}{space 3}0.000{col 54}{space 4} .3726724{col 67}{space 3} .6842711
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3884.6567}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3884.3727}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3884.3727}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    200.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3884.3727{txt}{col 49}Pseudo R2{col 67}= {res}    0.0258

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        hardtarget{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}{col 20}{res}{space 2}-.8800246{col 32}{space 2} .1229319{col 43}{space 1}   -7.16{col 52}{space 3}0.000{col 60}{space 4}-1.120967{col 73}{space 3}-.6390825
{txt}religious_conflict {c |}{col 20}{res}{space 2} .1896778{col 32}{space 2} .1112234{col 43}{space 1}    1.71{col 52}{space 3}0.088{col 60}{space 4} -.028316{col 73}{space 3} .4076717
{txt}{space 15}yr6 {c |}{col 20}{res}{space 2}-.3364731{col 32}{space 2} .3876079{col 43}{space 1}   -0.87{col 52}{space 3}0.385{col 60}{space 4}-1.096171{col 73}{space 3} .4232244
{txt}{space 15}yr7 {c |}{col 20}{res}{space 2}-.8488772{col 32}{space 2} 1.130337{col 43}{space 1}   -0.75{col 52}{space 3}0.453{col 60}{space 4}-3.064296{col 73}{space 3} 1.366542
{txt}{space 15}yr8 {c |}{col 20}{res}{space 2} .9172394{col 32}{space 2} 1.176988{col 43}{space 1}    0.78{col 52}{space 3}0.436{col 60}{space 4}-1.389615{col 73}{space 3} 3.224094
{txt}{space 14}yr14 {c |}{col 20}{res}{space 2}-.2483993{col 32}{space 2} .5459314{col 43}{space 1}   -0.46{col 52}{space 3}0.649{col 60}{space 4}-1.318405{col 73}{space 3} .8216066
{txt}{space 14}yr15 {c |}{col 20}{res}{space 2}-.1996091{col 32}{space 2} .5909652{col 43}{space 1}   -0.34{col 52}{space 3}0.736{col 60}{space 4} -1.35788{col 73}{space 3} .9586614
{txt}{space 14}yr16 {c |}{col 20}{res}{space 2} .4089288{col 32}{space 2} .3886074{col 43}{space 1}    1.05{col 52}{space 3}0.293{col 60}{space 4}-.3527276{col 73}{space 3} 1.170585
{txt}{space 14}yr17 {c |}{col 20}{res}{space 2} .3793237{col 32}{space 2} .5284491{col 43}{space 1}    0.72{col 52}{space 3}0.473{col 60}{space 4}-.6564176{col 73}{space 3} 1.415065
{txt}{space 14}yr18 {c |}{col 20}{res}{space 2}-.5360813{col 32}{space 2} .5063276{col 43}{space 1}   -1.06{col 52}{space 3}0.290{col 60}{space 4}-1.528465{col 73}{space 3} .4563024
{txt}{space 14}yr19 {c |}{col 20}{res}{space 2} .1276835{col 32}{space 2} .3896797{col 43}{space 1}    0.33{col 52}{space 3}0.743{col 60}{space 4}-.6360747{col 73}{space 3} .8914417
{txt}{space 14}yr20 {c |}{col 20}{res}{space 2} .8277518{col 32}{space 2} .4935365{col 43}{space 1}    1.68{col 52}{space 3}0.094{col 60}{space 4} -.139562{col 73}{space 3} 1.795066
{txt}{space 14}yr21 {c |}{col 20}{res}{space 2}  .550145{col 32}{space 2} .3533082{col 43}{space 1}    1.56{col 52}{space 3}0.119{col 60}{space 4}-.1423265{col 73}{space 3} 1.242616
{txt}{space 14}yr22 {c |}{col 20}{res}{space 2}-.6065597{col 32}{space 2} .2440284{col 43}{space 1}   -2.49{col 52}{space 3}0.013{col 60}{space 4}-1.084847{col 73}{space 3}-.1282729
{txt}{space 14}yr23 {c |}{col 20}{res}{space 2}-1.077634{col 32}{space 2}  .239172{col 43}{space 1}   -4.51{col 52}{space 3}0.000{col 60}{space 4}-1.546403{col 73}{space 3}-.6088658
{txt}{space 14}yr24 {c |}{col 20}{res}{space 2}-.1178173{col 32}{space 2} .2017146{col 43}{space 1}   -0.58{col 52}{space 3}0.559{col 60}{space 4}-.5131706{col 73}{space 3}  .277536
{txt}{space 14}yr25 {c |}{col 20}{res}{space 2} .4208076{col 32}{space 2} .1670976{col 43}{space 1}    2.52{col 52}{space 3}0.012{col 60}{space 4} .0933023{col 73}{space 3} .7483129
{txt}{space 14}yr26 {c |}{col 20}{res}{space 2} .2642877{col 32}{space 2} .1273696{col 43}{space 1}    2.07{col 52}{space 3}0.038{col 60}{space 4} .0146478{col 73}{space 3} .5139276
{txt}{space 14}yr27 {c |}{col 20}{res}{space 2} .3650194{col 32}{space 2} .1334919{col 43}{space 1}    2.73{col 52}{space 3}0.006{col 60}{space 4} .1033801{col 73}{space 3} .6266587
{txt}{space 14}yr28 {c |}{col 20}{res}{space 2} .4379872{col 32}{space 2} .1207578{col 43}{space 1}    3.63{col 52}{space 3}0.000{col 60}{space 4} .2013063{col 73}{space 3} .6746681
{txt}{space 14}yr29 {c |}{col 20}{res}{space 2} .3241632{col 32}{space 2} .1279981{col 43}{space 1}    2.53{col 52}{space 3}0.011{col 60}{space 4} .0732915{col 73}{space 3} .5750348
{txt}{space 14}yr30 {c |}{col 20}{res}{space 2} .4786554{col 32}{space 2} .1449537{col 43}{space 1}    3.30{col 52}{space 3}0.001{col 60}{space 4} .1945514{col 73}{space 3} .7627594
{txt}{space 14}yr31 {c |}{col 20}{res}{space 2}-.0817788{col 32}{space 2} .1373244{col 43}{space 1}   -0.60{col 52}{space 3}0.551{col 60}{space 4}-.3509297{col 73}{space 3} .1873722
{txt}{space 14}yr32 {c |}{col 20}{res}{space 2} .3795477{col 32}{space 2} .1625423{col 43}{space 1}    2.34{col 52}{space 3}0.020{col 60}{space 4} .0609706{col 73}{space 3} .6981248
{txt}{space 14}yr33 {c |}{col 20}{res}{space 2} .2152831{col 32}{space 2} .1533623{col 43}{space 1}    1.40{col 52}{space 3}0.160{col 60}{space 4}-.0853016{col 73}{space 3} .5158678
{txt}{space 14}yr34 {c |}{col 20}{res}{space 2} .1722099{col 32}{space 2} .1302828{col 43}{space 1}    1.32{col 52}{space 3}0.186{col 60}{space 4}-.0831398{col 73}{space 3} .4275595
{txt}{space 14}yr35 {c |}{col 20}{res}{space 2}-.0494498{col 32}{space 2} .1250011{col 43}{space 1}   -0.40{col 52}{space 3}0.692{col 60}{space 4}-.2944475{col 73}{space 3} .1955478
{txt}{space 14}yr36 {c |}{col 20}{res}{space 2}-.3496226{col 32}{space 2} .1118629{col 43}{space 1}   -3.13{col 52}{space 3}0.002{col 60}{space 4}-.5688699{col 73}{space 3}-.1303753
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .3464035{col 32}{space 2} .1334907{col 43}{space 1}    2.59{col 52}{space 3}0.009{col 60}{space 4} .0847665{col 73}{space 3} .6080405
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3864.5532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3864.0639}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3864.0638}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    229.03
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3864.0638{txt}{col 49}Pseudo R2{col 67}= {res}    0.0309

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.9044087{col 34}{space 2} .1249532{col 45}{space 1}   -7.24{col 54}{space 3}0.000{col 62}{space 4}-1.149312{col 75}{space 3}-.6595049
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6329296{col 34}{space 2} .1511372{col 45}{space 1}    4.19{col 54}{space 3}0.000{col 62}{space 4} .3367061{col 75}{space 3} .9291531
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4846906{col 34}{space 2} .1433005{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-.7655545{col 75}{space 3}-.2038267
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.2709305{col 34}{space 2} .0603021{col 45}{space 1}   -4.49{col 54}{space 3}0.000{col 62}{space 4}-.3891205{col 75}{space 3}-.1527404
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5615463{col 34}{space 2}  .422509{col 45}{space 1}   -1.33{col 54}{space 3}0.184{col 62}{space 4}-1.389649{col 75}{space 3} .2665561
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.063244{col 34}{space 2} 1.140659{col 45}{space 1}   -0.93{col 54}{space 3}0.351{col 62}{space 4}-3.298895{col 75}{space 3} 1.172407
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.003206{col 34}{space 2} 1.237627{col 45}{space 1}    0.81{col 54}{space 3}0.418{col 62}{space 4}-1.422498{col 75}{space 3} 3.428909
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5434401{col 34}{space 2} .5322218{col 45}{space 1}   -1.02{col 54}{space 3}0.307{col 62}{space 4}-1.586576{col 75}{space 3} .4996953
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5039743{col 34}{space 2} .5685768{col 45}{space 1}   -0.89{col 54}{space 3}0.375{col 62}{space 4}-1.618364{col 75}{space 3} .6104158
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0066937{col 34}{space 2} .3983702{col 45}{space 1}   -0.02{col 54}{space 3}0.987{col 62}{space 4}-.7874851{col 75}{space 3} .7740976
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .0437714{col 34}{space 2} .5711377{col 45}{space 1}    0.08{col 54}{space 3}0.939{col 62}{space 4}-1.075638{col 75}{space 3} 1.163181
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9426701{col 34}{space 2} .4836217{col 45}{space 1}   -1.95{col 54}{space 3}0.051{col 62}{space 4}-1.890551{col 75}{space 3} .0052111
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.2723464{col 34}{space 2} .4068408{col 45}{space 1}   -0.67{col 54}{space 3}0.503{col 62}{space 4} -1.06974{col 75}{space 3} .5250469
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .6375449{col 34}{space 2} .5504188{col 45}{space 1}    1.16{col 54}{space 3}0.247{col 62}{space 4}-.4412561{col 75}{space 3} 1.716346
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}  .169146{col 34}{space 2} .3663448{col 45}{space 1}    0.46{col 54}{space 3}0.644{col 62}{space 4}-.5488765{col 75}{space 3} .8871686
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2} -.785437{col 34}{space 2} .2516151{col 45}{space 1}   -3.12{col 54}{space 3}0.002{col 62}{space 4}-1.278594{col 75}{space 3}-.2922804
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.251312{col 34}{space 2}  .241351{col 45}{space 1}   -5.18{col 54}{space 3}0.000{col 62}{space 4}-1.724352{col 75}{space 3}-.7782732
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.2831733{col 34}{space 2} .2043988{col 45}{space 1}   -1.39{col 54}{space 3}0.166{col 62}{space 4}-.6837876{col 75}{space 3}  .117441
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} .3396229{col 34}{space 2} .1700654{col 45}{space 1}    2.00{col 54}{space 3}0.046{col 62}{space 4} .0063008{col 75}{space 3}  .672945
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .2022969{col 34}{space 2} .1296388{col 45}{space 1}    1.56{col 54}{space 3}0.119{col 62}{space 4}-.0517906{col 75}{space 3} .4563843
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .2865461{col 34}{space 2} .1332581{col 45}{space 1}    2.15{col 54}{space 3}0.032{col 62}{space 4}  .025365{col 75}{space 3} .5477272
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .3714462{col 34}{space 2} .1202981{col 45}{space 1}    3.09{col 54}{space 3}0.002{col 62}{space 4} .1356663{col 75}{space 3}  .607226
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .2498272{col 34}{space 2} .1289603{col 45}{space 1}    1.94{col 54}{space 3}0.053{col 62}{space 4}-.0029304{col 75}{space 3} .5025847
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .3566417{col 34}{space 2} .1462917{col 45}{space 1}    2.44{col 54}{space 3}0.015{col 62}{space 4} .0699153{col 75}{space 3}  .643368
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2} -.196973{col 34}{space 2}  .138676{col 45}{space 1}   -1.42{col 54}{space 3}0.155{col 62}{space 4} -.468773{col 75}{space 3}  .074827
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .2650392{col 34}{space 2} .1645769{col 45}{space 1}    1.61{col 54}{space 3}0.107{col 62}{space 4}-.0575255{col 75}{space 3}  .587604
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .1212237{col 34}{space 2} .1552503{col 45}{space 1}    0.78{col 54}{space 3}0.435{col 62}{space 4}-.1830613{col 75}{space 3} .4255088
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .1031763{col 34}{space 2}  .131007{col 45}{space 1}    0.79{col 54}{space 3}0.431{col 62}{space 4}-.1535928{col 75}{space 3} .3599454
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1315464{col 34}{space 2} .1261512{col 45}{space 1}   -1.04{col 54}{space 3}0.297{col 62}{space 4}-.3787983{col 75}{space 3} .1157055
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3901256{col 34}{space 2} .1128551{col 45}{space 1}   -3.46{col 54}{space 3}0.001{col 62}{space 4}-.6113175{col 75}{space 3}-.1689336
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5826717{col 34}{space 2} .1419716{col 45}{space 1}    4.10{col 54}{space 3}0.000{col 62}{space 4} .3044125{col 75}{space 3} .8609308
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3830.6445}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3829.7075}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3829.7072}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}    294.43
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3829.7072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0395

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.8793019{col 34}{space 2} .1270908{col 45}{space 1}   -6.92{col 54}{space 3}0.000{col 62}{space 4}-1.128395{col 75}{space 3}-.6302086
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6151939{col 34}{space 2} .1497705{col 45}{space 1}    4.11{col 54}{space 3}0.000{col 62}{space 4}  .321649{col 75}{space 3} .9087387
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4731268{col 34}{space 2} .1456516{col 45}{space 1}   -3.25{col 54}{space 3}0.001{col 62}{space 4}-.7585986{col 75}{space 3}-.1876549
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3212584{col 34}{space 2} .0911288{col 45}{space 1}   -3.53{col 54}{space 3}0.000{col 62}{space 4}-.4998676{col 75}{space 3}-.1426493
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6742685{col 34}{space 2} .0846313{col 45}{space 1}    7.97{col 54}{space 3}0.000{col 62}{space 4} .5083942{col 75}{space 3} .8401427
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .0349866{col 34}{space 2} .0925014{col 45}{space 1}    0.38{col 54}{space 3}0.705{col 62}{space 4}-.1463128{col 75}{space 3}  .216286
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5773007{col 34}{space 2} .4215283{col 45}{space 1}   -1.37{col 54}{space 3}0.171{col 62}{space 4}-1.403481{col 75}{space 3} .2488796
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.086151{col 34}{space 2} 1.142602{col 45}{space 1}   -0.95{col 54}{space 3}0.342{col 62}{space 4} -3.32561{col 75}{space 3} 1.153308
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .9559839{col 34}{space 2} 1.232951{col 45}{space 1}    0.78{col 54}{space 3}0.438{col 62}{space 4}-1.460556{col 75}{space 3} 3.372523
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5564566{col 34}{space 2} .5331582{col 45}{space 1}   -1.04{col 54}{space 3}0.297{col 62}{space 4}-1.601427{col 75}{space 3} .4885144
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5043824{col 34}{space 2} .5705899{col 45}{space 1}   -0.88{col 54}{space 3}0.377{col 62}{space 4}-1.622718{col 75}{space 3} .6139532
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0057791{col 34}{space 2} .4004559{col 45}{space 1}   -0.01{col 54}{space 3}0.988{col 62}{space 4}-.7906582{col 75}{space 3} .7791001
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-.0023705{col 34}{space 2} .5674089{col 45}{space 1}   -0.00{col 54}{space 3}0.997{col 62}{space 4}-1.114472{col 75}{space 3} 1.109731
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9926404{col 34}{space 2} .4743904{col 45}{space 1}   -2.09{col 54}{space 3}0.036{col 62}{space 4}-1.922429{col 75}{space 3}-.0628522
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.3013163{col 34}{space 2} .4137678{col 45}{space 1}   -0.73{col 54}{space 3}0.466{col 62}{space 4}-1.112286{col 75}{space 3} .5096537
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .5938466{col 34}{space 2} .5496207{col 45}{space 1}    1.08{col 54}{space 3}0.280{col 62}{space 4}-.4833902{col 75}{space 3} 1.671083
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .1616842{col 34}{space 2} .3665838{col 45}{space 1}    0.44{col 54}{space 3}0.659{col 62}{space 4}-.5568067{col 75}{space 3} .8801752
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.8244737{col 34}{space 2} .2483649{col 45}{space 1}   -3.32{col 54}{space 3}0.001{col 62}{space 4} -1.31126{col 75}{space 3}-.3376874
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.277529{col 34}{space 2} .2401079{col 45}{space 1}   -5.32{col 54}{space 3}0.000{col 62}{space 4}-1.748132{col 75}{space 3} -.806926
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.5482175{col 34}{space 2} .2004811{col 45}{space 1}   -2.73{col 54}{space 3}0.006{col 62}{space 4}-.9411531{col 75}{space 3}-.1552818
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.1221458{col 34}{space 2} .1780947{col 45}{space 1}   -0.69{col 54}{space 3}0.493{col 62}{space 4} -.471205{col 75}{space 3} .2269134
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.4020567{col 34}{space 2} .1470871{col 45}{space 1}   -2.73{col 54}{space 3}0.006{col 62}{space 4}-.6903421{col 75}{space 3}-.1137713
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.3042279{col 34}{space 2} .1516579{col 45}{space 1}   -2.01{col 54}{space 3}0.045{col 62}{space 4}-.6014718{col 75}{space 3}-.0069839
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.1869214{col 34}{space 2} .1371728{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-.4557752{col 75}{space 3} .0819324
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.2472289{col 34}{space 2} .1428117{col 45}{space 1}   -1.73{col 54}{space 3}0.083{col 62}{space 4}-.5271347{col 75}{space 3}  .032677
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.0408986{col 34}{space 2} .1551203{col 45}{space 1}   -0.26{col 54}{space 3}0.792{col 62}{space 4}-.3449289{col 75}{space 3} .2631317
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.4176718{col 34}{space 2} .1422385{col 45}{space 1}   -2.94{col 54}{space 3}0.003{col 62}{space 4}-.6964542{col 75}{space 3}-.1388894
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0281996{col 34}{space 2} .1712262{col 45}{space 1}   -0.16{col 54}{space 3}0.869{col 62}{space 4}-.3637968{col 75}{space 3} .3073977
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0316924{col 34}{space 2}   .15816{col 45}{space 1}   -0.20{col 54}{space 3}0.841{col 62}{space 4}-.3416804{col 75}{space 3} .2782956
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0311909{col 34}{space 2} .1324979{col 45}{space 1}   -0.24{col 54}{space 3}0.814{col 62}{space 4} -.290882{col 75}{space 3} .2285002
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1374834{col 34}{space 2} .1262515{col 45}{space 1}   -1.09{col 54}{space 3}0.276{col 62}{space 4}-.3849317{col 75}{space 3} .1099649
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3942337{col 34}{space 2} .1127998{col 45}{space 1}   -3.49{col 54}{space 3}0.000{col 62}{space 4}-.6153172{col 75}{space 3}-.1731501
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6016016{col 34}{space 2} .1500344{col 45}{space 1}    4.01{col 54}{space 3}0.000{col 62}{space 4} .3075394{col 75}{space 3} .8956637
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. logit hardtarget       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ /// 
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3886.1357}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3885.8597}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3885.8597}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(26)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3885.8597{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{ralign 78:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  hardtarget{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}{col 14}{res}{space 2}-.8842057{col 26}{space 2} .2737124{col 37}{space 1}   -3.23{col 46}{space 3}0.001{col 54}{space 4}-1.420672{col 67}{space 3}-.3477392
{txt}{space 9}yr6 {c |}{col 14}{res}{space 2}-.4353168{col 26}{space 2} .1959238{col 37}{space 1}   -2.22{col 46}{space 3}0.026{col 54}{space 4}-.8193203{col 67}{space 3}-.0513132
{txt}{space 9}yr7 {c |}{col 14}{res}{space 2}-.9585285{col 26}{space 2} .1579586{col 37}{space 1}   -6.07{col 46}{space 3}0.000{col 54}{space 4}-1.268122{col 67}{space 3}-.6489352
{txt}{space 9}yr8 {c |}{col 14}{res}{space 2} .7857907{col 26}{space 2} .5291348{col 37}{space 1}    1.49{col 46}{space 3}0.138{col 54}{space 4}-.2512944{col 67}{space 3} 1.822876
{txt}{space 8}yr14 {c |}{col 14}{res}{space 2}-.2407897{col 26}{space 2} .6840485{col 37}{space 1}   -0.35{col 46}{space 3}0.725{col 54}{space 4}  -1.5815{col 67}{space 3} 1.099921
{txt}{space 8}yr15 {c |}{col 14}{res}{space 2}-.1919995{col 26}{space 2}  .813275{col 37}{space 1}   -0.24{col 46}{space 3}0.813{col 54}{space 4}-1.785989{col 67}{space 3}  1.40199
{txt}{space 8}yr16 {c |}{col 14}{res}{space 2} .4166854{col 26}{space 2} .5027713{col 37}{space 1}    0.83{col 46}{space 3}0.407{col 54}{space 4}-.5687282{col 67}{space 3} 1.402099
{txt}{space 8}yr17 {c |}{col 14}{res}{space 2} .3489265{col 26}{space 2} .8368539{col 37}{space 1}    0.42{col 46}{space 3}0.677{col 54}{space 4}-1.291277{col 67}{space 3}  1.98913
{txt}{space 8}yr18 {c |}{col 14}{res}{space 2}-.5284717{col 26}{space 2} .9868887{col 37}{space 1}   -0.54{col 46}{space 3}0.592{col 54}{space 4}-2.462738{col 67}{space 3} 1.405795
{txt}{space 8}yr19 {c |}{col 14}{res}{space 2} .0992298{col 26}{space 2} .6056508{col 37}{space 1}    0.16{col 46}{space 3}0.870{col 54}{space 4}-1.087824{col 67}{space 3} 1.286283
{txt}{space 8}yr20 {c |}{col 14}{res}{space 2} .7413254{col 26}{space 2} .7729216{col 37}{space 1}    0.96{col 46}{space 3}0.337{col 54}{space 4}-.7735731{col 67}{space 3} 2.256224
{txt}{space 8}yr21 {c |}{col 14}{res}{space 2} .5451204{col 26}{space 2} .3866794{col 37}{space 1}    1.41{col 46}{space 3}0.159{col 54}{space 4}-.2127573{col 67}{space 3} 1.302998
{txt}{space 8}yr22 {c |}{col 14}{res}{space 2} -.616093{col 26}{space 2} .5643564{col 37}{space 1}   -1.09{col 46}{space 3}0.275{col 54}{space 4}-1.722211{col 67}{space 3} .4900253
{txt}{space 8}yr23 {c |}{col 14}{res}{space 2}-1.072001{col 26}{space 2} .3124648{col 37}{space 1}   -3.43{col 46}{space 3}0.001{col 54}{space 4}-1.684421{col 67}{space 3}-.4595811
{txt}{space 8}yr24 {c |}{col 14}{res}{space 2}-.1159554{col 26}{space 2} .6182823{col 37}{space 1}   -0.19{col 46}{space 3}0.851{col 54}{space 4}-1.327767{col 67}{space 3} 1.095856
{txt}{space 8}yr25 {c |}{col 14}{res}{space 2} .4064312{col 26}{space 2} .3359271{col 37}{space 1}    1.21{col 46}{space 3}0.226{col 54}{space 4}-.2519739{col 67}{space 3} 1.064836
{txt}{space 8}yr26 {c |}{col 14}{res}{space 2} .2591786{col 26}{space 2} .2577167{col 37}{space 1}    1.01{col 46}{space 3}0.315{col 54}{space 4}-.2459369{col 67}{space 3} .7642941
{txt}{space 8}yr27 {c |}{col 14}{res}{space 2} .3379669{col 26}{space 2} .3752888{col 37}{space 1}    0.90{col 46}{space 3}0.368{col 54}{space 4}-.3975856{col 67}{space 3} 1.073519
{txt}{space 8}yr28 {c |}{col 14}{res}{space 2} .4158641{col 26}{space 2} .4511192{col 37}{space 1}    0.92{col 46}{space 3}0.357{col 54}{space 4}-.4683133{col 67}{space 3} 1.300042
{txt}{space 8}yr29 {c |}{col 14}{res}{space 2}  .322417{col 26}{space 2} .3726405{col 37}{space 1}    0.87{col 46}{space 3}0.387{col 54}{space 4}-.4079451{col 67}{space 3} 1.052779
{txt}{space 8}yr30 {c |}{col 14}{res}{space 2}   .47241{col 26}{space 2} .4030769{col 37}{space 1}    1.17{col 46}{space 3}0.241{col 54}{space 4}-.3176063{col 67}{space 3} 1.262426
{txt}{space 8}yr31 {c |}{col 14}{res}{space 2}-.0866262{col 26}{space 2} .3387166{col 37}{space 1}   -0.26{col 46}{space 3}0.798{col 54}{space 4}-.7504986{col 67}{space 3} .5772462
{txt}{space 8}yr32 {c |}{col 14}{res}{space 2} .3767922{col 26}{space 2}  .255411{col 37}{space 1}    1.48{col 46}{space 3}0.140{col 54}{space 4}-.1238041{col 67}{space 3} .8773885
{txt}{space 8}yr33 {c |}{col 14}{res}{space 2} .2155811{col 26}{space 2} .3312603{col 37}{space 1}    0.65{col 46}{space 3}0.515{col 54}{space 4}-.4336772{col 67}{space 3} .8648394
{txt}{space 8}yr34 {c |}{col 14}{res}{space 2} .1761611{col 26}{space 2}  .283951{col 37}{space 1}    0.62{col 46}{space 3}0.535{col 54}{space 4}-.3803725{col 67}{space 3} .7326948
{txt}{space 8}yr35 {c |}{col 14}{res}{space 2}-.0438365{col 26}{space 2} .2931184{col 37}{space 1}   -0.15{col 46}{space 3}0.881{col 54}{space 4}-.6183381{col 67}{space 3} .5306651
{txt}{space 8}yr36 {c |}{col 14}{res}{space 2}-.3459535{col 26}{space 2} .4155019{col 37}{space 1}   -0.83{col 46}{space 3}0.405{col 54}{space 4}-1.160322{col 67}{space 3} .4684154
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .5284717{col 26}{space 2} .1336162{col 37}{space 1}    3.96{col 46}{space 3}0.000{col 54}{space 4} .2665888{col 67}{space 3} .7903547
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3884.6567}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3884.3727}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3884.3727}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(27)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3884.3727{txt}{col 49}Pseudo R2{col 67}= {res}    0.0258

{txt}{ralign 84:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        hardtarget{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}{col 20}{res}{space 2}-.8800246{col 32}{space 2} .2789747{col 43}{space 1}   -3.15{col 52}{space 3}0.002{col 60}{space 4}-1.426805{col 73}{space 3}-.3332442
{txt}religious_conflict {c |}{col 20}{res}{space 2} .1896778{col 32}{space 2} .4547281{col 43}{space 1}    0.42{col 52}{space 3}0.677{col 60}{space 4}-.7015729{col 73}{space 3} 1.080929
{txt}{space 15}yr6 {c |}{col 20}{res}{space 2}-.3364731{col 32}{space 2}  .328879{col 43}{space 1}   -1.02{col 52}{space 3}0.306{col 60}{space 4} -.981064{col 73}{space 3} .3081178
{txt}{space 15}yr7 {c |}{col 20}{res}{space 2}-.8488772{col 32}{space 2} .3256445{col 43}{space 1}   -2.61{col 52}{space 3}0.009{col 60}{space 4}-1.487129{col 73}{space 3}-.2106257
{txt}{space 15}yr8 {c |}{col 20}{res}{space 2} .9172394{col 32}{space 2} .6038004{col 43}{space 1}    1.52{col 52}{space 3}0.129{col 60}{space 4}-.2661876{col 73}{space 3} 2.100666
{txt}{space 14}yr14 {c |}{col 20}{res}{space 2}-.2483993{col 32}{space 2} .6764689{col 43}{space 1}   -0.37{col 52}{space 3}0.713{col 60}{space 4}-1.574254{col 73}{space 3} 1.077455
{txt}{space 14}yr15 {c |}{col 20}{res}{space 2}-.1996091{col 32}{space 2}  .809746{col 43}{space 1}   -0.25{col 52}{space 3}0.805{col 60}{space 4}-1.786682{col 73}{space 3} 1.387464
{txt}{space 14}yr16 {c |}{col 20}{res}{space 2} .4089288{col 32}{space 2} .4991351{col 43}{space 1}    0.82{col 52}{space 3}0.413{col 60}{space 4} -.569358{col 73}{space 3} 1.387216
{txt}{space 14}yr17 {c |}{col 20}{res}{space 2} .3793237{col 32}{space 2} .8540624{col 43}{space 1}    0.44{col 52}{space 3}0.657{col 60}{space 4}-1.294608{col 73}{space 3} 2.053255
{txt}{space 14}yr18 {c |}{col 20}{res}{space 2}-.5360813{col 32}{space 2} .9835523{col 43}{space 1}   -0.55{col 52}{space 3}0.586{col 60}{space 4}-2.463808{col 73}{space 3} 1.391646
{txt}{space 14}yr19 {c |}{col 20}{res}{space 2} .1276835{col 32}{space 2} .6032823{col 43}{space 1}    0.21{col 52}{space 3}0.832{col 60}{space 4}-1.054728{col 73}{space 3} 1.310095
{txt}{space 14}yr20 {c |}{col 20}{res}{space 2} .8277518{col 32}{space 2} .8414023{col 43}{space 1}    0.98{col 52}{space 3}0.325{col 60}{space 4}-.8213664{col 73}{space 3}  2.47687
{txt}{space 14}yr21 {c |}{col 20}{res}{space 2}  .550145{col 32}{space 2} .3803345{col 43}{space 1}    1.45{col 52}{space 3}0.148{col 60}{space 4} -.195297{col 73}{space 3} 1.295587
{txt}{space 14}yr22 {c |}{col 20}{res}{space 2}-.6065597{col 32}{space 2} .5790552{col 43}{space 1}   -1.05{col 52}{space 3}0.295{col 60}{space 4}-1.741487{col 73}{space 3} .5283675
{txt}{space 14}yr23 {c |}{col 20}{res}{space 2}-1.077634{col 32}{space 2} .3090282{col 43}{space 1}   -3.49{col 52}{space 3}0.000{col 60}{space 4}-1.683318{col 73}{space 3}-.4719501
{txt}{space 14}yr24 {c |}{col 20}{res}{space 2}-.1178173{col 32}{space 2} .6242222{col 43}{space 1}   -0.19{col 52}{space 3}0.850{col 60}{space 4} -1.34127{col 73}{space 3} 1.105636
{txt}{space 14}yr25 {c |}{col 20}{res}{space 2} .4208076{col 32}{space 2} .3208055{col 43}{space 1}    1.31{col 52}{space 3}0.190{col 60}{space 4}-.2079596{col 73}{space 3} 1.049575
{txt}{space 14}yr26 {c |}{col 20}{res}{space 2} .2642877{col 32}{space 2} .2512641{col 43}{space 1}    1.05{col 52}{space 3}0.293{col 60}{space 4} -.228181{col 73}{space 3} .7567563
{txt}{space 14}yr27 {c |}{col 20}{res}{space 2} .3650194{col 32}{space 2} .4163523{col 43}{space 1}    0.88{col 52}{space 3}0.381{col 60}{space 4}-.4510161{col 73}{space 3} 1.181055
{txt}{space 14}yr28 {c |}{col 20}{res}{space 2} .4379872{col 32}{space 2} .4926698{col 43}{space 1}    0.89{col 52}{space 3}0.374{col 60}{space 4}-.5276278{col 73}{space 3} 1.403602
{txt}{space 14}yr29 {c |}{col 20}{res}{space 2} .3241632{col 32}{space 2} .3735217{col 43}{space 1}    0.87{col 52}{space 3}0.385{col 60}{space 4}-.4079258{col 73}{space 3} 1.056252
{txt}{space 14}yr30 {c |}{col 20}{res}{space 2} .4786554{col 32}{space 2} .4092042{col 43}{space 1}    1.17{col 52}{space 3}0.242{col 60}{space 4}  -.32337{col 73}{space 3} 1.280681
{txt}{space 14}yr31 {c |}{col 20}{res}{space 2}-.0817788{col 32}{space 2} .3405038{col 43}{space 1}   -0.24{col 52}{space 3}0.810{col 60}{space 4}-.7491539{col 73}{space 3} .5855964
{txt}{space 14}yr32 {c |}{col 20}{res}{space 2} .3795477{col 32}{space 2} .2527635{col 43}{space 1}    1.50{col 52}{space 3}0.133{col 60}{space 4}-.1158597{col 73}{space 3} .8749551
{txt}{space 14}yr33 {c |}{col 20}{res}{space 2} .2152831{col 32}{space 2} .3286857{col 43}{space 1}    0.65{col 52}{space 3}0.512{col 60}{space 4} -.428929{col 73}{space 3} .8594952
{txt}{space 14}yr34 {c |}{col 20}{res}{space 2} .1722099{col 32}{space 2} .2773565{col 43}{space 1}    0.62{col 52}{space 3}0.535{col 60}{space 4}-.3713989{col 73}{space 3} .7158187
{txt}{space 14}yr35 {c |}{col 20}{res}{space 2}-.0494498{col 32}{space 2} .2841693{col 43}{space 1}   -0.17{col 52}{space 3}0.862{col 60}{space 4}-.6064114{col 73}{space 3} .5075118
{txt}{space 14}yr36 {c |}{col 20}{res}{space 2}-.3496226{col 32}{space 2} .4185179{col 43}{space 1}   -0.84{col 52}{space 3}0.404{col 60}{space 4}-1.169903{col 73}{space 3} .4706575
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .3464035{col 32}{space 2} .4980992{col 43}{space 1}    0.70{col 52}{space 3}0.487{col 60}{space 4} -.629853{col 73}{space 3}  1.32266
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3864.5532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3864.0639}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3864.0638}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(29)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3864.0638{txt}{col 49}Pseudo R2{col 67}= {res}    0.0309

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.9044087{col 34}{space 2} .2972741{col 45}{space 1}   -3.04{col 54}{space 3}0.002{col 62}{space 4}-1.487055{col 75}{space 3}-.3217621
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6329296{col 34}{space 2} .4074067{col 45}{space 1}    1.55{col 54}{space 3}0.120{col 62}{space 4} -.165573{col 75}{space 3} 1.431432
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4846906{col 34}{space 2} .3329728{col 45}{space 1}   -1.46{col 54}{space 3}0.145{col 62}{space 4}-1.137305{col 75}{space 3}  .167924
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.2709305{col 34}{space 2} .3110665{col 45}{space 1}   -0.87{col 54}{space 3}0.384{col 62}{space 4}-.8806096{col 75}{space 3} .3387487
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5615463{col 34}{space 2} .3235456{col 45}{space 1}   -1.74{col 54}{space 3}0.083{col 62}{space 4}-1.195684{col 75}{space 3} .0725914
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.063244{col 34}{space 2}  .318773{col 45}{space 1}   -3.34{col 54}{space 3}0.001{col 62}{space 4}-1.688028{col 75}{space 3}-.4384606
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.003206{col 34}{space 2} .5350533{col 45}{space 1}    1.87{col 54}{space 3}0.061{col 62}{space 4}-.0454794{col 75}{space 3} 2.051891
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5434401{col 34}{space 2} .6479995{col 45}{space 1}   -0.84{col 54}{space 3}0.402{col 62}{space 4}-1.813496{col 75}{space 3} .7266156
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5039743{col 34}{space 2} .7314955{col 45}{space 1}   -0.69{col 54}{space 3}0.491{col 62}{space 4}-1.937679{col 75}{space 3} .9297305
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0066937{col 34}{space 2} .4638885{col 45}{space 1}   -0.01{col 54}{space 3}0.988{col 62}{space 4}-.9158985{col 75}{space 3}  .902511
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .0437714{col 34}{space 2}  .944796{col 45}{space 1}    0.05{col 54}{space 3}0.963{col 62}{space 4}-1.807995{col 75}{space 3} 1.895538
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9426701{col 34}{space 2} .8866127{col 45}{space 1}   -1.06{col 54}{space 3}0.288{col 62}{space 4}-2.680399{col 75}{space 3} .7950588
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.2723464{col 34}{space 2} .5640355{col 45}{space 1}   -0.48{col 54}{space 3}0.629{col 62}{space 4}-1.377836{col 75}{space 3} .8331429
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .6375449{col 34}{space 2} 1.112018{col 45}{space 1}    0.57{col 54}{space 3}0.566{col 62}{space 4}-1.541971{col 75}{space 3}  2.81706
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}  .169146{col 34}{space 2} .5100641{col 45}{space 1}    0.33{col 54}{space 3}0.740{col 62}{space 4}-.8305613{col 75}{space 3} 1.168853
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2} -.785437{col 34}{space 2}  .572795{col 45}{space 1}   -1.37{col 54}{space 3}0.170{col 62}{space 4}-1.908095{col 75}{space 3} .3372206
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.251312{col 34}{space 2} .3289419{col 45}{space 1}   -3.80{col 54}{space 3}0.000{col 62}{space 4}-1.896027{col 75}{space 3}-.6065982
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.2831733{col 34}{space 2} .5951837{col 45}{space 1}   -0.48{col 54}{space 3}0.634{col 62}{space 4}-1.449712{col 75}{space 3} .8833654
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} .3396229{col 34}{space 2}  .315747{col 45}{space 1}    1.08{col 54}{space 3}0.282{col 62}{space 4}-.2792299{col 75}{space 3} .9584758
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .2022969{col 34}{space 2} .2280319{col 45}{space 1}    0.89{col 54}{space 3}0.375{col 62}{space 4}-.2446374{col 75}{space 3} .6492311
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .2865461{col 34}{space 2} .3824808{col 45}{space 1}    0.75{col 54}{space 3}0.454{col 62}{space 4}-.4631025{col 75}{space 3} 1.036195
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .3714462{col 34}{space 2}  .458352{col 45}{space 1}    0.81{col 54}{space 3}0.418{col 62}{space 4}-.5269072{col 75}{space 3}   1.2698
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .2498272{col 34}{space 2} .3317904{col 45}{space 1}    0.75{col 54}{space 3}0.451{col 62}{space 4}  -.40047{col 75}{space 3} .9001243
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .3566417{col 34}{space 2} .3438813{col 45}{space 1}    1.04{col 54}{space 3}0.300{col 62}{space 4}-.3173533{col 75}{space 3} 1.030637
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2} -.196973{col 34}{space 2} .2743982{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-.7347836{col 75}{space 3} .3408376
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .2650392{col 34}{space 2} .2471905{col 45}{space 1}    1.07{col 54}{space 3}0.284{col 62}{space 4}-.2194452{col 75}{space 3} .7495236
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .1212237{col 34}{space 2} .3188131{col 45}{space 1}    0.38{col 54}{space 3}0.704{col 62}{space 4}-.5036385{col 75}{space 3}  .746086
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .1031763{col 34}{space 2} .2382027{col 45}{space 1}    0.43{col 54}{space 3}0.665{col 62}{space 4}-.3636924{col 75}{space 3}  .570045
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1315464{col 34}{space 2} .2076025{col 45}{space 1}   -0.63{col 54}{space 3}0.526{col 62}{space 4}-.5384399{col 75}{space 3}  .275347
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3901256{col 34}{space 2} .3995629{col 45}{space 1}   -0.98{col 54}{space 3}0.329{col 62}{space 4}-1.173255{col 75}{space 3} .3930034
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5826717{col 34}{space 2}  .460554{col 45}{space 1}    1.27{col 54}{space 3}0.206{col 62}{space 4}-.3199975{col 75}{space 3} 1.485341
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3830.6445}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3829.7075}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3829.7072}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(31)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3829.7072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0395

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.8793019{col 34}{space 2} .3034046{col 45}{space 1}   -2.90{col 54}{space 3}0.004{col 62}{space 4}-1.473964{col 75}{space 3}-.2846398
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6151939{col 34}{space 2} .3899716{col 45}{space 1}    1.58{col 54}{space 3}0.115{col 62}{space 4}-.1491364{col 75}{space 3} 1.379524
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4731268{col 34}{space 2} .3354717{col 45}{space 1}   -1.41{col 54}{space 3}0.158{col 62}{space 4}-1.130639{col 75}{space 3} .1843857
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3212584{col 34}{space 2} .2764026{col 45}{space 1}   -1.16{col 54}{space 3}0.245{col 62}{space 4}-.8629976{col 75}{space 3} .2204807
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6742685{col 34}{space 2} .2222344{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .2386971{col 75}{space 3}  1.10984
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .0349866{col 34}{space 2} .1832519{col 45}{space 1}    0.19{col 54}{space 3}0.849{col 62}{space 4}-.3241805{col 75}{space 3} .3941538
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5773007{col 34}{space 2} .2981348{col 45}{space 1}   -1.94{col 54}{space 3}0.053{col 62}{space 4}-1.161634{col 75}{space 3} .0070328
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.086151{col 34}{space 2}  .298093{col 45}{space 1}   -3.64{col 54}{space 3}0.000{col 62}{space 4}-1.670403{col 75}{space 3}-.5018995
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .9559839{col 34}{space 2} .5397533{col 45}{space 1}    1.77{col 54}{space 3}0.077{col 62}{space 4}-.1019131{col 75}{space 3} 2.013881
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5564566{col 34}{space 2} .6442475{col 45}{space 1}   -0.86{col 54}{space 3}0.388{col 62}{space 4}-1.819158{col 75}{space 3} .7062454
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5043824{col 34}{space 2} .7311883{col 45}{space 1}   -0.69{col 54}{space 3}0.490{col 62}{space 4}-1.937485{col 75}{space 3} .9287204
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0057791{col 34}{space 2} .4704625{col 45}{space 1}   -0.01{col 54}{space 3}0.990{col 62}{space 4}-.9278687{col 75}{space 3} .9163106
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-.0023705{col 34}{space 2} .9536873{col 45}{space 1}   -0.00{col 54}{space 3}0.998{col 62}{space 4}-1.871563{col 75}{space 3} 1.866822
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9926404{col 34}{space 2} .8717324{col 45}{space 1}   -1.14{col 54}{space 3}0.255{col 62}{space 4}-2.701204{col 75}{space 3} .7159236
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.3013163{col 34}{space 2} .5609351{col 45}{space 1}   -0.54{col 54}{space 3}0.591{col 62}{space 4}-1.400729{col 75}{space 3} .7980964
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .5938466{col 34}{space 2} 1.107564{col 45}{space 1}    0.54{col 54}{space 3}0.592{col 62}{space 4}-1.576938{col 75}{space 3} 2.764631
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .1616842{col 34}{space 2} .5300419{col 45}{space 1}    0.31{col 54}{space 3}0.760{col 62}{space 4}-.8771788{col 75}{space 3} 1.200547
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.8244737{col 34}{space 2} .5723062{col 45}{space 1}   -1.44{col 54}{space 3}0.150{col 62}{space 4}-1.946173{col 75}{space 3} .2972258
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.277529{col 34}{space 2} .3278202{col 45}{space 1}   -3.90{col 54}{space 3}0.000{col 62}{space 4}-1.920045{col 75}{space 3} -.635013
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.5482175{col 34}{space 2} .5214921{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-1.570323{col 75}{space 3} .4738882
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.1221458{col 34}{space 2} .2638088{col 45}{space 1}   -0.46{col 54}{space 3}0.643{col 62}{space 4}-.6392016{col 75}{space 3}   .39491
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.4020567{col 34}{space 2} .3007493{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-.9915145{col 75}{space 3} .1874011
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.3042279{col 34}{space 2} .3432391{col 45}{space 1}   -0.89{col 54}{space 3}0.375{col 62}{space 4}-.9769642{col 75}{space 3} .3685085
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.1869214{col 34}{space 2} .4659702{col 45}{space 1}   -0.40{col 54}{space 3}0.688{col 62}{space 4}-1.100206{col 75}{space 3} .7263634
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.2472289{col 34}{space 2} .3383582{col 45}{space 1}   -0.73{col 54}{space 3}0.465{col 62}{space 4}-.9103988{col 75}{space 3} .4159411
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.0408986{col 34}{space 2} .3158833{col 45}{space 1}   -0.13{col 54}{space 3}0.897{col 62}{space 4}-.6600185{col 75}{space 3} .5782213
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.4176718{col 34}{space 2} .2057861{col 45}{space 1}   -2.03{col 54}{space 3}0.042{col 62}{space 4}-.8210051{col 75}{space 3}-.0143384
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0281996{col 34}{space 2} .3098061{col 45}{space 1}   -0.09{col 54}{space 3}0.927{col 62}{space 4}-.6354083{col 75}{space 3} .5790092
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0316924{col 34}{space 2} .3574974{col 45}{space 1}   -0.09{col 54}{space 3}0.929{col 62}{space 4}-.7323745{col 75}{space 3} .6689897
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0311909{col 34}{space 2} .1630598{col 45}{space 1}   -0.19{col 54}{space 3}0.848{col 62}{space 4}-.3507822{col 75}{space 3} .2884005
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1374834{col 34}{space 2} .2250856{col 45}{space 1}   -0.61{col 54}{space 3}0.541{col 62}{space 4}-.5786431{col 75}{space 3} .3036763
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3942337{col 34}{space 2} .4030965{col 45}{space 1}   -0.98{col 54}{space 3}0.328{col 62}{space 4}-1.184288{col 75}{space 3} .3958209
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6016016{col 34}{space 2}  .403176{col 45}{space 1}    1.49{col 54}{space 3}0.136{col 62}{space 4}-.1886089{col 75}{space 3} 1.391812
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Figure 2, based on Model 8, Table 2 *****
. 
. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3830.6445}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3829.7075}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3829.7072}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(31)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3829.7072{txt}{col 49}Pseudo R2{col 67}= {res}    0.0395

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.8793019{col 34}{space 2} .3034046{col 45}{space 1}   -2.90{col 54}{space 3}0.004{col 62}{space 4}-1.473964{col 75}{space 3}-.2846398
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6151939{col 34}{space 2} .3899716{col 45}{space 1}    1.58{col 54}{space 3}0.115{col 62}{space 4}-.1491364{col 75}{space 3} 1.379524
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4731268{col 34}{space 2} .3354717{col 45}{space 1}   -1.41{col 54}{space 3}0.158{col 62}{space 4}-1.130639{col 75}{space 3} .1843857
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3212584{col 34}{space 2} .2764026{col 45}{space 1}   -1.16{col 54}{space 3}0.245{col 62}{space 4}-.8629976{col 75}{space 3} .2204807
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6742685{col 34}{space 2} .2222344{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .2386971{col 75}{space 3}  1.10984
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .0349866{col 34}{space 2} .1832519{col 45}{space 1}    0.19{col 54}{space 3}0.849{col 62}{space 4}-.3241805{col 75}{space 3} .3941538
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5773007{col 34}{space 2} .2981348{col 45}{space 1}   -1.94{col 54}{space 3}0.053{col 62}{space 4}-1.161634{col 75}{space 3} .0070328
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.086151{col 34}{space 2}  .298093{col 45}{space 1}   -3.64{col 54}{space 3}0.000{col 62}{space 4}-1.670403{col 75}{space 3}-.5018995
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .9559839{col 34}{space 2} .5397533{col 45}{space 1}    1.77{col 54}{space 3}0.077{col 62}{space 4}-.1019131{col 75}{space 3} 2.013881
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5564566{col 34}{space 2} .6442475{col 45}{space 1}   -0.86{col 54}{space 3}0.388{col 62}{space 4}-1.819158{col 75}{space 3} .7062454
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5043824{col 34}{space 2} .7311883{col 45}{space 1}   -0.69{col 54}{space 3}0.490{col 62}{space 4}-1.937485{col 75}{space 3} .9287204
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0057791{col 34}{space 2} .4704625{col 45}{space 1}   -0.01{col 54}{space 3}0.990{col 62}{space 4}-.9278687{col 75}{space 3} .9163106
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-.0023705{col 34}{space 2} .9536873{col 45}{space 1}   -0.00{col 54}{space 3}0.998{col 62}{space 4}-1.871563{col 75}{space 3} 1.866822
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9926404{col 34}{space 2} .8717324{col 45}{space 1}   -1.14{col 54}{space 3}0.255{col 62}{space 4}-2.701204{col 75}{space 3} .7159236
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.3013163{col 34}{space 2} .5609351{col 45}{space 1}   -0.54{col 54}{space 3}0.591{col 62}{space 4}-1.400729{col 75}{space 3} .7980964
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .5938466{col 34}{space 2} 1.107564{col 45}{space 1}    0.54{col 54}{space 3}0.592{col 62}{space 4}-1.576938{col 75}{space 3} 2.764631
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .1616842{col 34}{space 2} .5300419{col 45}{space 1}    0.31{col 54}{space 3}0.760{col 62}{space 4}-.8771788{col 75}{space 3} 1.200547
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.8244737{col 34}{space 2} .5723062{col 45}{space 1}   -1.44{col 54}{space 3}0.150{col 62}{space 4}-1.946173{col 75}{space 3} .2972258
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.277529{col 34}{space 2} .3278202{col 45}{space 1}   -3.90{col 54}{space 3}0.000{col 62}{space 4}-1.920045{col 75}{space 3} -.635013
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.5482175{col 34}{space 2} .5214921{col 45}{space 1}   -1.05{col 54}{space 3}0.293{col 62}{space 4}-1.570323{col 75}{space 3} .4738882
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.1221458{col 34}{space 2} .2638088{col 45}{space 1}   -0.46{col 54}{space 3}0.643{col 62}{space 4}-.6392016{col 75}{space 3}   .39491
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.4020567{col 34}{space 2} .3007493{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-.9915145{col 75}{space 3} .1874011
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.3042279{col 34}{space 2} .3432391{col 45}{space 1}   -0.89{col 54}{space 3}0.375{col 62}{space 4}-.9769642{col 75}{space 3} .3685085
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.1869214{col 34}{space 2} .4659702{col 45}{space 1}   -0.40{col 54}{space 3}0.688{col 62}{space 4}-1.100206{col 75}{space 3} .7263634
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.2472289{col 34}{space 2} .3383582{col 45}{space 1}   -0.73{col 54}{space 3}0.465{col 62}{space 4}-.9103988{col 75}{space 3} .4159411
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.0408986{col 34}{space 2} .3158833{col 45}{space 1}   -0.13{col 54}{space 3}0.897{col 62}{space 4}-.6600185{col 75}{space 3} .5782213
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.4176718{col 34}{space 2} .2057861{col 45}{space 1}   -2.03{col 54}{space 3}0.042{col 62}{space 4}-.8210051{col 75}{space 3}-.0143384
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0281996{col 34}{space 2} .3098061{col 45}{space 1}   -0.09{col 54}{space 3}0.927{col 62}{space 4}-.6354083{col 75}{space 3} .5790092
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0316924{col 34}{space 2} .3574974{col 45}{space 1}   -0.09{col 54}{space 3}0.929{col 62}{space 4}-.7323745{col 75}{space 3} .6689897
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0311909{col 34}{space 2} .1630598{col 45}{space 1}   -0.19{col 54}{space 3}0.848{col 62}{space 4}-.3507822{col 75}{space 3} .2884005
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1374834{col 34}{space 2} .2250856{col 45}{space 1}   -0.61{col 54}{space 3}0.541{col 62}{space 4}-.5786431{col 75}{space 3} .3036763
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3942337{col 34}{space 2} .4030965{col 45}{space 1}   -0.98{col 54}{space 3}0.328{col 62}{space 4}-1.184288{col 75}{space 3} .3958209
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6016016{col 34}{space 2}  .403176{col 45}{space 1}    1.49{col 54}{space 3}0.136{col 62}{space 4}-.1886089{col 75}{space 3} 1.391812
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(*) post
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     6,127
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(hardtarget), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:female religious_conflict Muslim_organization foreign_organization f_occupation iraqsyria yr6 yr7 yr8 yr14 yr15 yr16 yr17 yr18 yr19 yr20 yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 yr31 yr32 yr33 yr34 yr35 yr36}{p_end}
{p2colreset}{...}

{res}{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34} Delta-method
{col 22}{c |}      dy/dx{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.1911307{col 34}{space 2} .0665665{col 45}{space 1}   -2.87{col 54}{space 3}0.004{col 62}{space 4}-.3215986{col 75}{space 3}-.0606627
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .1337224{col 34}{space 2} .0827118{col 45}{space 1}    1.62{col 54}{space 3}0.106{col 62}{space 4}-.0283896{col 75}{space 3} .2958345
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.1028418{col 34}{space 2} .0739445{col 45}{space 1}   -1.39{col 54}{space 3}0.164{col 62}{space 4}-.2477704{col 75}{space 3} .0420867
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.0698308{col 34}{space 2} .0591477{col 45}{space 1}   -1.18{col 54}{space 3}0.238{col 62}{space 4}-.1857582{col 75}{space 3} .0460967
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .1465633{col 34}{space 2}  .044352{col 45}{space 1}    3.30{col 54}{space 3}0.001{col 62}{space 4}  .059635{col 75}{space 3} .2334915
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .0076049{col 34}{space 2} .0399605{col 45}{space 1}    0.19{col 54}{space 3}0.849{col 62}{space 4}-.0707162{col 75}{space 3} .0859261
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.1254857{col 34}{space 2} .0660989{col 45}{space 1}   -1.90{col 54}{space 3}0.058{col 62}{space 4}-.2550372{col 75}{space 3} .0040657
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-.2360927{col 34}{space 2} .0676113{col 45}{space 1}   -3.49{col 54}{space 3}0.000{col 62}{space 4}-.3686084{col 75}{space 3} -.103577
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .2077987{col 34}{space 2} .1164792{col 45}{space 1}    1.78{col 54}{space 3}0.074{col 62}{space 4}-.0204964{col 75}{space 3} .4360938
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.1209549{col 34}{space 2} .1404432{col 45}{space 1}   -0.86{col 54}{space 3}0.389{col 62}{space 4}-.3962185{col 75}{space 3} .1543087
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.1096358{col 34}{space 2} .1589902{col 45}{space 1}   -0.69{col 54}{space 3}0.490{col 62}{space 4}-.4212507{col 75}{space 3} .2019792
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0012562{col 34}{space 2} .1022638{col 45}{space 1}   -0.01{col 54}{space 3}0.990{col 62}{space 4}-.2016895{col 75}{space 3} .1991771
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-.0005153{col 34}{space 2} .2073004{col 45}{space 1}   -0.00{col 54}{space 3}0.998{col 62}{space 4}-.4068166{col 75}{space 3} .4057861
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.2157666{col 34}{space 2} .1895764{col 45}{space 1}   -1.14{col 54}{space 3}0.255{col 62}{space 4}-.5873296{col 75}{space 3} .1557964
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} -.065496{col 34}{space 2}   .12209{col 45}{space 1}   -0.54{col 54}{space 3}0.592{col 62}{space 4}-.3047881{col 75}{space 3}  .173796
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .1290823{col 34}{space 2} .2401926{col 45}{space 1}    0.54{col 54}{space 3}0.591{col 62}{space 4}-.3416867{col 75}{space 3} .5998512
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .0351447{col 34}{space 2} .1152202{col 45}{space 1}    0.31{col 54}{space 3}0.760{col 62}{space 4}-.1906827{col 75}{space 3} .2609721
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.1792128{col 34}{space 2} .1253829{col 45}{space 1}   -1.43{col 54}{space 3}0.153{col 62}{space 4}-.4249589{col 75}{space 3} .0665332
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-.2776918{col 34}{space 2} .0712915{col 45}{space 1}   -3.90{col 54}{space 3}0.000{col 62}{space 4}-.4174206{col 75}{space 3}-.1379629
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} -.119164{col 34}{space 2} .1120115{col 45}{space 1}   -1.06{col 54}{space 3}0.287{col 62}{space 4}-.3387026{col 75}{space 3} .1003746
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.0265504{col 34}{space 2} .0570096{col 45}{space 1}   -0.47{col 54}{space 3}0.641{col 62}{space 4}-.1382871{col 75}{space 3} .0851864
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.0873936{col 34}{space 2} .0634491{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-.2117515{col 75}{space 3} .0369643
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.0661289{col 34}{space 2} .0757801{col 45}{space 1}   -0.87{col 54}{space 3}0.383{col 62}{space 4}-.2146553{col 75}{space 3} .0823975
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.0406304{col 34}{space 2} .1019185{col 45}{space 1}   -0.40{col 54}{space 3}0.690{col 62}{space 4}-.2403869{col 75}{space 3} .1591261
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.0537392{col 34}{space 2}  .074238{col 45}{space 1}   -0.72{col 54}{space 3}0.469{col 62}{space 4}-.1992431{col 75}{space 3} .0917647
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}  -.00889{col 34}{space 2} .0687716{col 45}{space 1}   -0.13{col 54}{space 3}0.897{col 62}{space 4}-.1436799{col 75}{space 3}    .1259
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.0907878{col 34}{space 2} .0445766{col 45}{space 1}   -2.04{col 54}{space 3}0.042{col 62}{space 4}-.1781564{col 75}{space 3}-.0034192
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0061296{col 34}{space 2} .0672147{col 45}{space 1}   -0.09{col 54}{space 3}0.927{col 62}{space 4}-.1378681{col 75}{space 3} .1256088
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0068889{col 34}{space 2} .0776741{col 45}{space 1}   -0.09{col 54}{space 3}0.929{col 62}{space 4}-.1591273{col 75}{space 3} .1453495
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0067798{col 34}{space 2} .0355334{col 45}{space 1}   -0.19{col 54}{space 3}0.849{col 62}{space 4}-.0764241{col 75}{space 3} .0628644
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.0298843{col 34}{space 2} .0497353{col 45}{space 1}   -0.60{col 54}{space 3}0.548{col 62}{space 4}-.1273637{col 75}{space 3} .0675951
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.0856931{col 34}{space 2} .0881827{col 45}{space 1}   -0.97{col 54}{space 3}0.331{col 62}{space 4} -.258528{col 75}{space 3} .0871418
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}{txt}
{com}. estimates store M8
{txt}
{com}. coefplot /*(M1, label(Model 1) pstyle(p3) msymbol(O))*/ (M8, label(Model 8) pstyle(p3) msymbol(O)), drop(_cons yr*) xline(0) xtitle(Average Marginal Effects) ///
>          order(female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria) ///
>          coeflabel(female = "Female Suicide Bomber" religious_conflict = "Religious Conflict" Muslim_organization = "Islamist Terrorist Organization" foreign_organization = "Transnational Terrorist Organization" ///
>                            /*log_milex = "Military Expenditure" log_gdppc_2010 = "GDP Per Capita"*/ f_occupation = "Foreign Occupation" iraqsyria = "Dummy for Iraq and Syria") ///
>          ciopts(recast(rcap))
{res}{txt}
{com}. 
. 
. 
.                  
. ***** Appendix 6 *****
. 
. replace size = 1 if size == .
{txt}(4,685 real changes made)

{com}. gen size_log = ln(size)
{txt}
{com}. replace duration = 0 if duration == .
{txt}(4,685 real changes made)

{com}. replace polity2 = -11 if polity2 == .
{txt}(2,467 real changes made)

{com}. gen polity2_11 = polity2 + 11
{txt}
{com}. 
. * Model 1
. *leftist omitted because of collinearity
. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria forced /*leftist*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3823.6284}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3822.5235}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3822.5231}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3822.5231}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}33{txt}){col 67}= {res}    304.78
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3822.5231{txt}{col 49}Pseudo R2{col 67}= {res}    0.0413

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.8781911{col 34}{space 2} .1261923{col 45}{space 1}   -6.96{col 54}{space 3}0.000{col 62}{space 4}-1.125524{col 75}{space 3}-.6308587
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .7809066{col 34}{space 2} .1582556{col 45}{space 1}    4.93{col 54}{space 3}0.000{col 62}{space 4} .4707314{col 75}{space 3} 1.091082
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.4411774{col 34}{space 2} .1478325{col 45}{space 1}   -2.98{col 54}{space 3}0.003{col 62}{space 4}-.7309237{col 75}{space 3}-.1514311
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.2799069{col 34}{space 2} .0933249{col 45}{space 1}   -3.00{col 54}{space 3}0.003{col 62}{space 4}-.4628204{col 75}{space 3}-.0969934
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2}  .760263{col 34}{space 2} .0879066{col 45}{space 1}    8.65{col 54}{space 3}0.000{col 62}{space 4} .5879692{col 75}{space 3} .9325568
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .0286654{col 34}{space 2} .0941482{col 45}{space 1}    0.30{col 54}{space 3}0.761{col 62}{space 4}-.1558617{col 75}{space 3} .2131925
{txt}{space 14}forced {c |}{col 22}{res}{space 2}-.3005803{col 34}{space 2} .0803216{col 45}{space 1}   -3.74{col 54}{space 3}0.000{col 62}{space 4}-.4580076{col 75}{space 3}-.1431529
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.7057066{col 34}{space 2} .4275948{col 45}{space 1}   -1.65{col 54}{space 3}0.099{col 62}{space 4}-1.543777{col 75}{space 3} .1323638
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.203604{col 34}{space 2}   1.0984{col 45}{space 1}   -1.10{col 54}{space 3}0.273{col 62}{space 4}-3.356429{col 75}{space 3} .9492212
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .9093227{col 34}{space 2}  1.21864{col 45}{space 1}    0.75{col 54}{space 3}0.456{col 62}{space 4}-1.479167{col 75}{space 3} 3.297813
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.5740667{col 34}{space 2} .5255353{col 45}{space 1}   -1.09{col 54}{space 3}0.275{col 62}{space 4}-1.604097{col 75}{space 3} .4559636
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2} -.517255{col 34}{space 2} .5609991{col 45}{space 1}   -0.92{col 54}{space 3}0.357{col 62}{space 4}-1.616793{col 75}{space 3}  .582283
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.0525313{col 34}{space 2} .4005509{col 45}{space 1}   -0.13{col 54}{space 3}0.896{col 62}{space 4}-.8375965{col 75}{space 3}  .732534
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .0179432{col 34}{space 2} .5603751{col 45}{space 1}    0.03{col 54}{space 3}0.974{col 62}{space 4}-1.080372{col 75}{space 3} 1.116258
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9772899{col 34}{space 2} .4729292{col 45}{space 1}   -2.07{col 54}{space 3}0.039{col 62}{space 4}-1.904214{col 75}{space 3}-.0503658
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.2871561{col 34}{space 2} .4227608{col 45}{space 1}   -0.68{col 54}{space 3}0.497{col 62}{space 4}-1.115752{col 75}{space 3} .5414399
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .5964576{col 34}{space 2} .5310532{col 45}{space 1}    1.12{col 54}{space 3}0.261{col 62}{space 4}-.4443875{col 75}{space 3} 1.637303
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .1017331{col 34}{space 2} .3599804{col 45}{space 1}    0.28{col 54}{space 3}0.777{col 62}{space 4}-.6038155{col 75}{space 3} .8072817
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.8748032{col 34}{space 2} .2487033{col 45}{space 1}   -3.52{col 54}{space 3}0.000{col 62}{space 4}-1.362253{col 75}{space 3}-.3873537
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.416996{col 34}{space 2}  .239266{col 45}{space 1}   -5.92{col 54}{space 3}0.000{col 62}{space 4}-1.885948{col 75}{space 3} -.948043
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.6923711{col 34}{space 2}   .20395{col 45}{space 1}   -3.39{col 54}{space 3}0.001{col 62}{space 4}-1.092106{col 75}{space 3}-.2926365
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.2416357{col 34}{space 2} .1804823{col 45}{space 1}   -1.34{col 54}{space 3}0.181{col 62}{space 4}-.5953745{col 75}{space 3}  .112103
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.5033141{col 34}{space 2} .1490811{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-.7955077{col 75}{space 3}-.2111205
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.3717504{col 34}{space 2} .1519065{col 45}{space 1}   -2.45{col 54}{space 3}0.014{col 62}{space 4}-.6694817{col 75}{space 3}-.0740191
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.2401999{col 34}{space 2} .1376132{col 45}{space 1}   -1.75{col 54}{space 3}0.081{col 62}{space 4}-.5099168{col 75}{space 3} .0295171
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.2941503{col 34}{space 2}  .142713{col 45}{space 1}   -2.06{col 54}{space 3}0.039{col 62}{space 4}-.5738627{col 75}{space 3} -.014438
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.0651055{col 34}{space 2} .1548755{col 45}{space 1}   -0.42{col 54}{space 3}0.674{col 62}{space 4}-.3686559{col 75}{space 3}  .238445
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.4486381{col 34}{space 2} .1421692{col 45}{space 1}   -3.16{col 54}{space 3}0.002{col 62}{space 4}-.7272845{col 75}{space 3}-.1699916
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0769049{col 34}{space 2} .1719007{col 45}{space 1}   -0.45{col 54}{space 3}0.655{col 62}{space 4}-.4138242{col 75}{space 3} .2600144
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.1131481{col 34}{space 2}  .157764{col 45}{space 1}   -0.72{col 54}{space 3}0.473{col 62}{space 4}-.4223599{col 75}{space 3} .1960637
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0861787{col 34}{space 2}  .133011{col 45}{space 1}   -0.65{col 54}{space 3}0.517{col 62}{space 4}-.3468756{col 75}{space 3} .1745181
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.1452485{col 34}{space 2} .1262584{col 45}{space 1}   -1.15{col 54}{space 3}0.250{col 62}{space 4}-.3927104{col 75}{space 3} .1022134
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3781862{col 34}{space 2} .1126903{col 45}{space 1}   -3.36{col 54}{space 3}0.001{col 62}{space 4}-.5990552{col 75}{space 3}-.1573172
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .642772{col 34}{space 2} .1505872{col 45}{space 1}    4.27{col 54}{space 3}0.000{col 62}{space 4} .3476265{col 75}{space 3} .9379174
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Model 2
. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria size_log duration polity2_11 ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3803.2674}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3801.0939}  
Iteration 3:{space 3}log pseudolikelihood = {res:  -3801.09}  
Iteration 4:{space 3}log pseudolikelihood = {res:  -3801.09}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}35{txt}){col 67}= {res}    336.63
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}  -3801.09{txt}{col 49}Pseudo R2{col 67}= {res}    0.0467

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.7339067{col 34}{space 2} .1272203{col 45}{space 1}   -5.77{col 54}{space 3}0.000{col 62}{space 4}-.9832538{col 75}{space 3}-.4845595
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .5472602{col 34}{space 2} .1509843{col 45}{space 1}    3.62{col 54}{space 3}0.000{col 62}{space 4} .2513363{col 75}{space 3} .8431841
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.6052596{col 34}{space 2} .1463324{col 45}{space 1}   -4.14{col 54}{space 3}0.000{col 62}{space 4}-.8920659{col 75}{space 3}-.3184533
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.2237892{col 34}{space 2} .0932495{col 45}{space 1}   -2.40{col 54}{space 3}0.016{col 62}{space 4}-.4065549{col 75}{space 3}-.0410236
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .2003956{col 34}{space 2} .1437628{col 45}{space 1}    1.39{col 54}{space 3}0.163{col 62}{space 4}-.0813744{col 75}{space 3} .4821655
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .2894933{col 34}{space 2}  .098895{col 45}{space 1}    2.93{col 54}{space 3}0.003{col 62}{space 4} .0956626{col 75}{space 3} .4833239
{txt}{space 12}size_log {c |}{col 22}{res}{space 2} .0234422{col 34}{space 2}  .016594{col 45}{space 1}    1.41{col 54}{space 3}0.158{col 62}{space 4}-.0090814{col 75}{space 3} .0559658
{txt}{space 12}duration {c |}{col 22}{res}{space 2}  .031908{col 34}{space 2}   .01024{col 45}{space 1}    3.12{col 54}{space 3}0.002{col 62}{space 4} .0118379{col 75}{space 3} .0519781
{txt}{space 10}polity2_11 {c |}{col 22}{res}{space 2}-.0060039{col 34}{space 2}  .007469{col 45}{space 1}   -0.80{col 54}{space 3}0.421{col 62}{space 4}-.0206428{col 75}{space 3}  .008635
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.5353963{col 34}{space 2} .4220101{col 45}{space 1}   -1.27{col 54}{space 3}0.205{col 62}{space 4}-1.362521{col 75}{space 3} .2917283
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-1.059576{col 34}{space 2} 1.192895{col 45}{space 1}   -0.89{col 54}{space 3}0.374{col 62}{space 4}-3.397608{col 75}{space 3} 1.278455
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .8805256{col 34}{space 2} 1.216665{col 45}{space 1}    0.72{col 54}{space 3}0.469{col 62}{space 4}-1.504093{col 75}{space 3} 3.265144
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-.3914975{col 34}{space 2} .5366364{col 45}{space 1}   -0.73{col 54}{space 3}0.466{col 62}{space 4}-1.443286{col 75}{space 3} .6602906
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.3343326{col 34}{space 2} .5654135{col 45}{space 1}   -0.59{col 54}{space 3}0.554{col 62}{space 4}-1.442523{col 75}{space 3} .7738575
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2} .1105053{col 34}{space 2} .3948355{col 45}{space 1}    0.28{col 54}{space 3}0.780{col 62}{space 4}-.6633581{col 75}{space 3} .8843688
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .1030813{col 34}{space 2} .5526118{col 45}{space 1}    0.19{col 54}{space 3}0.852{col 62}{space 4} -.980018{col 75}{space 3}  1.18618
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.8025723{col 34}{space 2} .4738887{col 45}{space 1}   -1.69{col 54}{space 3}0.090{col 62}{space 4}-1.731377{col 75}{space 3} .1262325
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.2489173{col 34}{space 2} .4065371{col 45}{space 1}   -0.61{col 54}{space 3}0.540{col 62}{space 4}-1.045715{col 75}{space 3} .5478807
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .6456718{col 34}{space 2} .5597397{col 45}{space 1}    1.15{col 54}{space 3}0.249{col 62}{space 4}-.4513979{col 75}{space 3} 1.742741
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}  .278644{col 34}{space 2} .3694398{col 45}{space 1}    0.75{col 54}{space 3}0.451{col 62}{space 4}-.4454448{col 75}{space 3} 1.002733
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.6784044{col 34}{space 2}  .247819{col 45}{space 1}   -2.74{col 54}{space 3}0.006{col 62}{space 4}-1.164121{col 75}{space 3}-.1926881
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.118805{col 34}{space 2}  .243485{col 45}{space 1}   -4.59{col 54}{space 3}0.000{col 62}{space 4}-1.596027{col 75}{space 3}-.6415829
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} -.462618{col 34}{space 2} .2035523{col 45}{space 1}   -2.27{col 54}{space 3}0.023{col 62}{space 4}-.8615731{col 75}{space 3}-.0636628
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}  .055059{col 34}{space 2} .1819439{col 45}{space 1}    0.30{col 54}{space 3}0.762{col 62}{space 4}-.3015445{col 75}{space 3} .4116625
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.2057658{col 34}{space 2} .1551966{col 45}{space 1}   -1.33{col 54}{space 3}0.185{col 62}{space 4}-.5099454{col 75}{space 3} .0984139
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.1776714{col 34}{space 2}  .155075{col 45}{space 1}   -1.15{col 54}{space 3}0.252{col 62}{space 4}-.4816127{col 75}{space 3}   .12627
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.0496917{col 34}{space 2}  .139812{col 45}{space 1}   -0.36{col 54}{space 3}0.722{col 62}{space 4}-.3237181{col 75}{space 3} .2243348
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.1815931{col 34}{space 2} .1472147{col 45}{space 1}   -1.23{col 54}{space 3}0.217{col 62}{space 4}-.4701286{col 75}{space 3} .1069424
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.0334297{col 34}{space 2} .1605272{col 45}{space 1}   -0.21{col 54}{space 3}0.835{col 62}{space 4}-.3480571{col 75}{space 3} .2811978
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.5101669{col 34}{space 2} .1459189{col 45}{space 1}   -3.50{col 54}{space 3}0.000{col 62}{space 4}-.7961626{col 75}{space 3}-.2241712
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-.0946242{col 34}{space 2} .1746987{col 45}{space 1}   -0.54{col 54}{space 3}0.588{col 62}{space 4}-.4370274{col 75}{space 3} .2477789
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.1123616{col 34}{space 2} .1600617{col 45}{space 1}   -0.70{col 54}{space 3}0.483{col 62}{space 4}-.4260767{col 75}{space 3} .2013535
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.1245471{col 34}{space 2} .1349557{col 45}{space 1}   -0.92{col 54}{space 3}0.356{col 62}{space 4}-.3890554{col 75}{space 3} .1399611
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.3454968{col 34}{space 2} .1312014{col 45}{space 1}   -2.63{col 54}{space 3}0.008{col 62}{space 4}-.6026468{col 75}{space 3}-.0883469
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3574242{col 34}{space 2} .1114822{col 45}{space 1}   -3.21{col 54}{space 3}0.001{col 62}{space 4}-.5759253{col 75}{space 3}-.1389232
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .6765796{col 34}{space 2} .1800096{col 45}{space 1}    3.76{col 54}{space 3}0.000{col 62}{space 4} .3237673{col 75}{space 3} 1.029392
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Table 3 *****
. 
. logit hardtarget_military female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3894.8195}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3779.0674}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3777.6474}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3777.6455}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3777.6455}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(34)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3777.6455{txt}{col 49}Pseudo R2{col 67}= {res}    0.0301

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1} hardtarget_military{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.9242895{col 34}{space 2} .2526433{col 45}{space 1}   -3.66{col 54}{space 3}0.000{col 62}{space 4}-1.419461{col 75}{space 3}-.4291177
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .5779479{col 34}{space 2} .4217525{col 45}{space 1}    1.37{col 54}{space 3}0.171{col 62}{space 4}-.2486718{col 75}{space 3} 1.404568
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2} -.452868{col 34}{space 2} .3327529{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-1.105052{col 75}{space 3} .1993158
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3275286{col 34}{space 2} .2167559{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4}-.7523623{col 75}{space 3}  .097305
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .3494538{col 34}{space 2} .2112237{col 45}{space 1}    1.65{col 54}{space 3}0.098{col 62}{space 4} -.064537{col 75}{space 3} .7634447
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .1694916{col 34}{space 2}  .239165{col 45}{space 1}    0.71{col 54}{space 3}0.479{col 62}{space 4}-.2992632{col 75}{space 3} .6382463
{txt}{space 17}yr4 {c |}{col 22}{res}{space 2} 1.117269{col 34}{space 2} .7141195{col 45}{space 1}    1.56{col 54}{space 3}0.118{col 62}{space 4}-.2823792{col 75}{space 3} 2.516918
{txt}{space 17}yr5 {c |}{col 22}{res}{space 2} .0564684{col 34}{space 2} .6886312{col 45}{space 1}    0.08{col 54}{space 3}0.935{col 62}{space 4}-1.293224{col 75}{space 3} 1.406161
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2} .0094458{col 34}{space 2}  .478868{col 45}{space 1}    0.02{col 54}{space 3}0.984{col 62}{space 4}-.9291182{col 75}{space 3} .9480098
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2}-.3668591{col 34}{space 2} .4678026{col 45}{space 1}   -0.78{col 54}{space 3}0.433{col 62}{space 4}-1.283735{col 75}{space 3} .5500172
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} .0203429{col 34}{space 2} 1.076003{col 45}{space 1}    0.02{col 54}{space 3}0.985{col 62}{space 4}-2.088584{col 75}{space 3}  2.12927
{txt}{space 16}yr12 {c |}{col 22}{res}{space 2}-.7201143{col 34}{space 2} .4413559{col 45}{space 1}   -1.63{col 54}{space 3}0.103{col 62}{space 4}-1.585156{col 75}{space 3} .1449274
{txt}{space 16}yr13 {c |}{col 22}{res}{space 2}-.0878094{col 34}{space 2} 1.145161{col 45}{space 1}   -0.08{col 54}{space 3}0.939{col 62}{space 4}-2.332285{col 75}{space 3} 2.156666
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-1.057555{col 34}{space 2} .4899471{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-2.017834{col 75}{space 3}-.0972764
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.4642111{col 34}{space 2} .4340993{col 45}{space 1}   -1.07{col 54}{space 3}0.285{col 62}{space 4} -1.31503{col 75}{space 3} .3866079
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2} .0825053{col 34}{space 2} .4903057{col 45}{space 1}    0.17{col 54}{space 3}0.866{col 62}{space 4}-.8784763{col 75}{space 3} 1.043487
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-.5335234{col 34}{space 2} .5046885{col 45}{space 1}   -1.06{col 54}{space 3}0.290{col 62}{space 4}-1.522695{col 75}{space 3} .4556479
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2} -.245082{col 34}{space 2} .8489425{col 45}{space 1}   -0.29{col 54}{space 3}0.773{col 62}{space 4}-1.908979{col 75}{space 3} 1.418815
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.2376298{col 34}{space 2}    .4892{col 45}{space 1}   -0.49{col 54}{space 3}0.627{col 62}{space 4}-1.196444{col 75}{space 3} .7211846
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2}-.6380585{col 34}{space 2} .4977224{col 45}{space 1}   -1.28{col 54}{space 3}0.200{col 62}{space 4}-1.613577{col 75}{space 3} .3374595
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .0688526{col 34}{space 2} .5955823{col 45}{space 1}    0.12{col 54}{space 3}0.908{col 62}{space 4}-1.098467{col 75}{space 3} 1.236172
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.9548611{col 34}{space 2} .4414788{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-1.820144{col 75}{space 3}-.0895785
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.495958{col 34}{space 2} .2954853{col 45}{space 1}   -5.06{col 54}{space 3}0.000{col 62}{space 4}-2.075098{col 75}{space 3}-.9168172
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-1.286198{col 34}{space 2} .2307465{col 45}{space 1}   -5.57{col 54}{space 3}0.000{col 62}{space 4}-1.738453{col 75}{space 3}-.8339431
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.6693778{col 34}{space 2} .2114376{col 45}{space 1}   -3.17{col 54}{space 3}0.002{col 62}{space 4}-1.083788{col 75}{space 3}-.2549677
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} -1.17796{col 34}{space 2} .1958002{col 45}{space 1}   -6.02{col 54}{space 3}0.000{col 62}{space 4}-1.561721{col 75}{space 3}-.7941984
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-1.034722{col 34}{space 2} .6698045{col 45}{space 1}   -1.54{col 54}{space 3}0.122{col 62}{space 4}-2.347515{col 75}{space 3} .2780706
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.9464802{col 34}{space 2} .6333712{col 45}{space 1}   -1.49{col 54}{space 3}0.135{col 62}{space 4}-2.187865{col 75}{space 3} .2949045
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.8558553{col 34}{space 2} .4852628{col 45}{space 1}   -1.76{col 54}{space 3}0.078{col 62}{space 4}-1.806953{col 75}{space 3} .0952423
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-1.160771{col 34}{space 2} .4103107{col 45}{space 1}   -2.83{col 54}{space 3}0.005{col 62}{space 4}-1.964966{col 75}{space 3}-.3565772
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-1.239358{col 34}{space 2} .3185339{col 45}{space 1}   -3.89{col 54}{space 3}0.000{col 62}{space 4}-1.863673{col 75}{space 3}-.6150435
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2}-1.409991{col 34}{space 2} .4169332{col 45}{space 1}   -3.38{col 54}{space 3}0.001{col 62}{space 4}-2.227165{col 75}{space 3}-.5928166
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.7756224{col 34}{space 2} .5372846{col 45}{space 1}   -1.44{col 54}{space 3}0.149{col 62}{space 4}-1.828681{col 75}{space 3} .2774361
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.7280375{col 34}{space 2} .3292696{col 45}{space 1}   -2.21{col 54}{space 3}0.027{col 62}{space 4}-1.373394{col 75}{space 3}-.0826809
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.6173674{col 34}{space 2} .2380655{col 45}{space 1}   -2.59{col 54}{space 3}0.010{col 62}{space 4}-1.083967{col 75}{space 3}-.1507676
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.4317239{col 34}{space 2} .3340792{col 45}{space 1}   -1.29{col 54}{space 3}0.196{col 62}{space 4}-1.086507{col 75}{space 3} .2230594
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-.0999402{col 34}{space 2} .6495559{col 45}{space 1}   -0.15{col 54}{space 3}0.878{col 62}{space 4}-1.373046{col 75}{space 3} 1.173166
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatant female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4013.3299}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3863.9006}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3863.4494}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3863.4494}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(31)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3863.4494{txt}{col 49}Pseudo R2{col 67}= {res}    0.0373

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}    target_combatant{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-.6928994{col 34}{space 2} .2125896{col 45}{space 1}   -3.26{col 54}{space 3}0.001{col 62}{space 4}-1.109567{col 75}{space 3}-.2762315
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .0354793{col 34}{space 2} .2728472{col 45}{space 1}    0.13{col 54}{space 3}0.897{col 62}{space 4}-.4992913{col 75}{space 3}   .57025
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.2211725{col 34}{space 2} .2995063{col 45}{space 1}   -0.74{col 54}{space 3}0.460{col 62}{space 4}-.8081941{col 75}{space 3} .3658491
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.2965481{col 34}{space 2} .2198577{col 45}{space 1}   -1.35{col 54}{space 3}0.177{col 62}{space 4}-.7274614{col 75}{space 3} .1343652
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6578626{col 34}{space 2} .2012368{col 45}{space 1}    3.27{col 54}{space 3}0.001{col 62}{space 4} .2634458{col 75}{space 3} 1.052279
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2} .3978204{col 34}{space 2} .2176813{col 45}{space 1}    1.83{col 54}{space 3}0.068{col 62}{space 4} -.028827{col 75}{space 3} .8244679
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}  .586972{col 34}{space 2} .4325837{col 45}{space 1}    1.36{col 54}{space 3}0.175{col 62}{space 4}-.2608765{col 75}{space 3} 1.434821
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2} .0285844{col 34}{space 2} .2980994{col 45}{space 1}    0.10{col 54}{space 3}0.924{col 62}{space 4}-.5556797{col 75}{space 3} .6128486
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2}-1.096475{col 34}{space 2} 1.227362{col 45}{space 1}   -0.89{col 54}{space 3}0.372{col 62}{space 4} -3.50206{col 75}{space 3}  1.30911
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2}-1.451027{col 34}{space 2} .4747821{col 45}{space 1}   -3.06{col 54}{space 3}0.002{col 62}{space 4}-2.381583{col 75}{space 3} -.520471
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-1.148836{col 34}{space 2}  .480448{col 45}{space 1}   -2.39{col 54}{space 3}0.017{col 62}{space 4}-2.090497{col 75}{space 3}-.2071757
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.3187842{col 34}{space 2} .5280877{col 45}{space 1}   -0.60{col 54}{space 3}0.546{col 62}{space 4}-1.353817{col 75}{space 3} .7162487
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-1.091674{col 34}{space 2} .8040391{col 45}{space 1}   -1.36{col 54}{space 3}0.175{col 62}{space 4}-2.667562{col 75}{space 3} .4842137
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9225706{col 34}{space 2} .9246644{col 45}{space 1}   -1.00{col 54}{space 3}0.318{col 62}{space 4} -2.73488{col 75}{space 3} .8897383
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.5849181{col 34}{space 2}  .548921{col 45}{space 1}   -1.07{col 54}{space 3}0.287{col 62}{space 4}-1.660784{col 75}{space 3} .4909474
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2}-.4182663{col 34}{space 2}  .637139{col 45}{space 1}   -0.66{col 54}{space 3}0.512{col 62}{space 4}-1.667036{col 75}{space 3} .8305031
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}-.2492138{col 34}{space 2} .5355576{col 45}{space 1}   -0.47{col 54}{space 3}0.642{col 62}{space 4}-1.298887{col 75}{space 3} .8004598
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-1.273046{col 34}{space 2} .4322226{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-2.120187{col 75}{space 3}-.4259053
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-1.695798{col 34}{space 2} .2537518{col 45}{space 1}   -6.68{col 54}{space 3}0.000{col 62}{space 4}-2.193142{col 75}{space 3}-1.198454
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-1.069885{col 34}{space 2} .3377437{col 45}{space 1}   -3.17{col 54}{space 3}0.002{col 62}{space 4} -1.73185{col 75}{space 3}-.4079195
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.8424371{col 34}{space 2} .2153765{col 45}{space 1}   -3.91{col 54}{space 3}0.000{col 62}{space 4}-1.264567{col 75}{space 3}-.4203069
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}-.9896517{col 34}{space 2} .2194113{col 45}{space 1}   -4.51{col 54}{space 3}0.000{col 62}{space 4} -1.41969{col 75}{space 3}-.5596134
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.9243574{col 34}{space 2} .4068382{col 45}{space 1}   -2.27{col 54}{space 3}0.023{col 62}{space 4}-1.721746{col 75}{space 3}-.1269692
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.6734384{col 34}{space 2} .4457022{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4}-1.546999{col 75}{space 3} .2001219
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.5171729{col 34}{space 2} .3755297{col 45}{space 1}   -1.38{col 54}{space 3}0.168{col 62}{space 4}-1.253198{col 75}{space 3} .2188517
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.7145872{col 34}{space 2} .4496978{col 45}{space 1}   -1.59{col 54}{space 3}0.112{col 62}{space 4}-1.595979{col 75}{space 3} .1668044
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.7457241{col 34}{space 2} .3110161{col 45}{space 1}   -2.40{col 54}{space 3}0.016{col 62}{space 4}-1.355304{col 75}{space 3}-.1361438
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} -.373491{col 34}{space 2} .2780864{col 45}{space 1}   -1.34{col 54}{space 3}0.179{col 62}{space 4}-.9185303{col 75}{space 3} .1715483
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .0191488{col 34}{space 2}   .28654{col 45}{space 1}    0.07{col 54}{space 3}0.947{col 62}{space 4}-.5424591{col 75}{space 3} .5807568
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0632468{col 34}{space 2} .2123417{col 45}{space 1}   -0.30{col 54}{space 3}0.766{col 62}{space 4}-.4794289{col 75}{space 3} .3529352
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.0445098{col 34}{space 2} .2435108{col 45}{space 1}   -0.18{col 54}{space 3}0.855{col 62}{space 4}-.5217822{col 75}{space 3} .4327625
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2} -.279703{col 34}{space 2} .3504291{col 45}{space 1}   -0.80{col 54}{space 3}0.425{col 62}{space 4}-.9665314{col 75}{space 3} .4071254
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .971014{col 34}{space 2} .3821486{col 45}{space 1}    2.54{col 54}{space 3}0.011{col 62}{space 4} .2220164{col 75}{space 3} 1.720012
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_foreign   female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 /*yr8 yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13 yr14*/ yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:  -2586.38}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2265.4267}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2215.7358}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2215.0678}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2215.0653}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2215.0653}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(29)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-2215.0653{txt}{col 49}Pseudo R2{col 67}= {res}    0.1436

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}      target_foreign{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2} -1.28071{col 34}{space 2} .4542319{col 45}{space 1}   -2.82{col 54}{space 3}0.005{col 62}{space 4}-2.170988{col 75}{space 3}-.3904315
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2}-.1053618{col 34}{space 2} .2609976{col 45}{space 1}   -0.40{col 54}{space 3}0.686{col 62}{space 4}-.6169078{col 75}{space 3} .4061842
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.2086414{col 34}{space 2} .4090465{col 45}{space 1}   -0.51{col 54}{space 3}0.610{col 62}{space 4}-1.010358{col 75}{space 3} .5930751
{txt}foreign_organization {c |}{col 22}{res}{space 2} .2642908{col 34}{space 2} .3412241{col 45}{space 1}    0.77{col 54}{space 3}0.439{col 62}{space 4}-.4044961{col 75}{space 3} .9330777
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} 1.920034{col 34}{space 2}  .406438{col 45}{space 1}    4.72{col 54}{space 3}0.000{col 62}{space 4}  1.12343{col 75}{space 3} 2.716637
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2}-1.898356{col 34}{space 2} .2450521{col 45}{space 1}   -7.75{col 54}{space 3}0.000{col 62}{space 4}-2.378649{col 75}{space 3}-1.418063
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2} 1.192573{col 34}{space 2} .5280377{col 45}{space 1}    2.26{col 54}{space 3}0.024{col 62}{space 4} .1576376{col 75}{space 3} 2.227507
{txt}{space 17}yr7 {c |}{col 22}{res}{space 2} 1.525103{col 34}{space 2} .5401254{col 45}{space 1}    2.82{col 54}{space 3}0.005{col 62}{space 4} .4664768{col 75}{space 3} 2.583729
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.4624777{col 34}{space 2} 1.229178{col 45}{space 1}   -0.38{col 54}{space 3}0.707{col 62}{space 4}-2.871622{col 75}{space 3} 1.946667
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2} -.450508{col 34}{space 2} 1.003448{col 45}{space 1}   -0.45{col 54}{space 3}0.653{col 62}{space 4}-2.417229{col 75}{space 3} 1.516213
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}-1.126539{col 34}{space 2} .7635074{col 45}{space 1}   -1.48{col 54}{space 3}0.140{col 62}{space 4}-2.622986{col 75}{space 3} .3699079
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-.9863468{col 34}{space 2} .7798531{col 45}{space 1}   -1.26{col 54}{space 3}0.206{col 62}{space 4}-2.514831{col 75}{space 3} .5421371
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.8570953{col 34}{space 2} 1.036002{col 45}{space 1}   -0.83{col 54}{space 3}0.408{col 62}{space 4}-2.887622{col 75}{space 3} 1.173432
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} -1.26957{col 34}{space 2} .8214989{col 45}{space 1}   -1.55{col 54}{space 3}0.122{col 62}{space 4}-2.879679{col 75}{space 3} .3405378
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}-1.780256{col 34}{space 2}  1.28957{col 45}{space 1}   -1.38{col 54}{space 3}0.167{col 62}{space 4}-4.307767{col 75}{space 3} .7472544
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-1.893578{col 34}{space 2} .9918973{col 45}{space 1}   -1.91{col 54}{space 3}0.056{col 62}{space 4}-3.837661{col 75}{space 3} .0505052
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}  .028017{col 34}{space 2} 1.041695{col 45}{space 1}    0.03{col 54}{space 3}0.979{col 62}{space 4}-2.013667{col 75}{space 3} 2.069701
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} .9944904{col 34}{space 2} .6746869{col 45}{space 1}    1.47{col 54}{space 3}0.140{col 62}{space 4}-.3278715{col 75}{space 3} 2.316852
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} 1.004124{col 34}{space 2} .5202558{col 45}{space 1}    1.93{col 54}{space 3}0.054{col 62}{space 4}-.0155587{col 75}{space 3} 2.023807
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .3385154{col 34}{space 2} .5129342{col 45}{space 1}    0.66{col 54}{space 3}0.509{col 62}{space 4}-.6668173{col 75}{space 3} 1.343848
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.2938708{col 34}{space 2} .5783459{col 45}{space 1}   -0.51{col 54}{space 3}0.611{col 62}{space 4}-1.427408{col 75}{space 3} .8396663
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}-.2712763{col 34}{space 2}  .660892{col 45}{space 1}   -0.41{col 54}{space 3}0.681{col 62}{space 4}-1.566601{col 75}{space 3} 1.024048
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2}-.2529925{col 34}{space 2} .5973757{col 45}{space 1}   -0.42{col 54}{space 3}0.672{col 62}{space 4}-1.423827{col 75}{space 3} .9178423
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2}-.4812781{col 34}{space 2} .5979449{col 45}{space 1}   -0.80{col 54}{space 3}0.421{col 62}{space 4}-1.653229{col 75}{space 3} .6906724
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.0039903{col 34}{space 2} .5398821{col 45}{space 1}   -0.01{col 54}{space 3}0.994{col 62}{space 4} -1.06214{col 75}{space 3} 1.054159
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} -.809979{col 34}{space 2} .5950157{col 45}{space 1}   -1.36{col 54}{space 3}0.173{col 62}{space 4}-1.976188{col 75}{space 3} .3562304
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0792934{col 34}{space 2} .4749756{col 45}{space 1}   -0.17{col 54}{space 3}0.867{col 62}{space 4}-1.010229{col 75}{space 3} .8516417
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} -.326118{col 34}{space 2} .5228761{col 45}{space 1}   -0.62{col 54}{space 3}0.533{col 62}{space 4}-1.350936{col 75}{space 3} .6987004
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} .4596801{col 34}{space 2} .5349901{col 45}{space 1}    0.86{col 54}{space 3}0.390{col 62}{space 4}-.5888812{col 75}{space 3} 1.508241
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.2959229{col 34}{space 2} .4991156{col 45}{space 1}   -0.59{col 54}{space 3}0.553{col 62}{space 4}-1.274171{col 75}{space 3} .6823256
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-1.740535{col 34}{space 2} .5900255{col 45}{space 1}   -2.95{col 54}{space 3}0.003{col 62}{space 4}-2.896963{col 75}{space 3}-.5841058
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit shia_civilian female_sunni religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5 yr6 yr7 yr8 yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 /*yr20*/ ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3177.0503}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2950.8817}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2910.1034}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2905.1452}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2904.9619}  
Iteration 5:{space 3}log pseudolikelihood = {res:-2904.9619}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}   4750.41
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2904.9619{txt}{col 49}Pseudo R2{col 67}= {res}    0.0856

{txt}{ralign 86:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}       shia_civilian{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 8}female_sunni {c |}{col 22}{res}{space 2} 1.221823{col 34}{space 2} .1733851{col 45}{space 1}    7.05{col 54}{space 3}0.000{col 62}{space 4} .8819944{col 75}{space 3} 1.561651
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} 2.267046{col 34}{space 2} .6833336{col 45}{space 1}    3.32{col 54}{space 3}0.001{col 62}{space 4} .9277365{col 75}{space 3} 3.606355
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2} 1.966893{col 34}{space 2} 1.182815{col 45}{space 1}    1.66{col 54}{space 3}0.096{col 62}{space 4}-.3513822{col 75}{space 3} 4.285169
{txt}foreign_organization {c |}{col 22}{res}{space 2} .3331464{col 34}{space 2} .3107285{col 45}{space 1}    1.07{col 54}{space 3}0.284{col 62}{space 4}-.2758702{col 75}{space 3}  .942163
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2}-.7039498{col 34}{space 2} .2649567{col 45}{space 1}   -2.66{col 54}{space 3}0.008{col 62}{space 4}-1.223255{col 75}{space 3}-.1846443
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2}-.2182108{col 34}{space 2} .2526022{col 45}{space 1}   -0.86{col 54}{space 3}0.388{col 62}{space 4}-.7133021{col 75}{space 3} .2768805
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2} 1.016286{col 34}{space 2} .6562097{col 45}{space 1}    1.55{col 54}{space 3}0.121{col 62}{space 4}-.2698619{col 75}{space 3} 2.302433
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}  1.00945{col 34}{space 2} .7624336{col 45}{space 1}    1.32{col 54}{space 3}0.186{col 62}{space 4}-.4848929{col 75}{space 3} 2.503792
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2} .1929534{col 34}{space 2}   .88203{col 45}{space 1}    0.22{col 54}{space 3}0.827{col 62}{space 4}-1.535794{col 75}{space 3}   1.9217
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2}  1.42967{col 34}{space 2}  .853603{col 45}{space 1}    1.67{col 54}{space 3}0.094{col 62}{space 4}-.2433608{col 75}{space 3} 3.102701
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2} 1.866854{col 34}{space 2} .7994862{col 45}{space 1}    2.34{col 54}{space 3}0.020{col 62}{space 4} .2998893{col 75}{space 3} 3.433818
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} .2111551{col 34}{space 2}  1.02569{col 45}{space 1}    0.21{col 54}{space 3}0.837{col 62}{space 4}-1.799161{col 75}{space 3} 2.221471
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2}-1.239203{col 34}{space 2} .8266351{col 45}{space 1}   -1.50{col 54}{space 3}0.134{col 62}{space 4}-2.859378{col 75}{space 3} .3809718
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2} 1.241035{col 34}{space 2} .6996759{col 45}{space 1}    1.77{col 54}{space 3}0.076{col 62}{space 4}-.1303051{col 75}{space 3} 2.612374
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2} .8097954{col 34}{space 2} .3132246{col 45}{space 1}    2.59{col 54}{space 3}0.010{col 62}{space 4} .1958865{col 75}{space 3} 1.423704
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} .8314958{col 34}{space 2} .5858019{col 45}{space 1}    1.42{col 54}{space 3}0.156{col 62}{space 4}-.3166549{col 75}{space 3} 1.979646
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}-.2308378{col 34}{space 2} .3874798{col 45}{space 1}   -0.60{col 54}{space 3}0.551{col 62}{space 4}-.9902842{col 75}{space 3} .5286087
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2}  .266254{col 34}{space 2} .4734015{col 45}{space 1}    0.56{col 54}{space 3}0.574{col 62}{space 4}-.6615958{col 75}{space 3} 1.194104
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .3410827{col 34}{space 2} .3423628{col 45}{space 1}    1.00{col 54}{space 3}0.319{col 62}{space 4}-.3299361{col 75}{space 3} 1.012102
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .5728124{col 34}{space 2} .4676054{col 45}{space 1}    1.22{col 54}{space 3}0.221{col 62}{space 4}-.3436773{col 75}{space 3} 1.489302
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .0746161{col 34}{space 2} .4173969{col 45}{space 1}    0.18{col 54}{space 3}0.858{col 62}{space 4}-.7434669{col 75}{space 3} .8926991
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .1582904{col 34}{space 2} .4295897{col 45}{space 1}    0.37{col 54}{space 3}0.713{col 62}{space 4}-.6836899{col 75}{space 3} 1.000271
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}  .677233{col 34}{space 2} .2698969{col 45}{space 1}    2.51{col 54}{space 3}0.012{col 62}{space 4} .1482447{col 75}{space 3} 1.206221
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .0443165{col 34}{space 2} .3664095{col 45}{space 1}    0.12{col 54}{space 3}0.904{col 62}{space 4} -.673833{col 75}{space 3} .7624659
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0871427{col 34}{space 2} .3835879{col 45}{space 1}   -0.23{col 54}{space 3}0.820{col 62}{space 4}-.8389611{col 75}{space 3} .6646757
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2}-.0876111{col 34}{space 2} .2760439{col 45}{space 1}   -0.32{col 54}{space 3}0.751{col 62}{space 4}-.6286472{col 75}{space 3} .4534249
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2}-.0798745{col 34}{space 2} .2410972{col 45}{space 1}   -0.33{col 54}{space 3}0.740{col 62}{space 4}-.5524162{col 75}{space 3} .3926673
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2} .3192926{col 34}{space 2} .3736504{col 45}{space 1}    0.85{col 54}{space 3}0.393{col 62}{space 4}-.4130488{col 75}{space 3} 1.051634
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}-5.519833{col 34}{space 2} 1.150904{col 45}{space 1}   -4.80{col 54}{space 3}0.000{col 62}{space 4}-7.775563{col 75}{space 3}-3.264104
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. * Instrumental Variables Probit Model
. ivprobit hardtarget religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                                       (female = /*fertility449*/ number_terror_group), vce(cluster ccode) first 

{txt}Fitting exogenous probit model

{res}{txt}Iteration 0:{space 3}log likelihood = {res:-3987.2715}  
Iteration 1:{space 3}log likelihood = {res:-3859.9984}  
Iteration 2:{space 3}log likelihood = {res:-3859.8256}  
Iteration 3:{space 3}log likelihood = {res:-3859.8256}  
{res}
{txt}Fitting full model

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2999.0938}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2999.0918}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2999.0918}  

Probit model with endogenous regressors{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}6{txt}){col 67}= {res}     48.16
{txt}Log pseudolikelihood = {res}-2999.0918{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000

{txt}{ralign 93:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 28}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 29}{c |}{col 41}    Robust
{col 29}{c |}      Coef.{col 41}   Std. Err.{col 53}      z{col 61}   P>|z|{col 69}     [95% Con{col 82}f. Interval]
{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}hardtarget                  {txt}{c |}
{space 21}female {c |}{col 29}{res}{space 2}-1.767844{col 41}{space 2} .9272677{col 52}{space 1}   -1.91{col 61}{space 3}0.057{col 69}{space 4}-3.585255{col 82}{space 3} .0495671
{txt}{space 9}religious_conflict {c |}{col 29}{res}{space 2} .2773434{col 41}{space 2} .2789674{col 52}{space 1}    0.99{col 61}{space 3}0.320{col 69}{space 4}-.2694227{col 82}{space 3} .8241095
{txt}{space 8}Muslim_organization {c |}{col 29}{res}{space 2}-.2464001{col 41}{space 2} .2197991{col 52}{space 1}   -1.12{col 61}{space 3}0.262{col 69}{space 4}-.6771984{col 82}{space 3} .1843983
{txt}{space 7}foreign_organization {c |}{col 29}{res}{space 2}-.1494146{col 41}{space 2} .1502175{col 52}{space 1}   -0.99{col 61}{space 3}0.320{col 69}{space 4}-.4438355{col 82}{space 3} .1450062
{txt}{space 15}f_occupation {c |}{col 29}{res}{space 2}  .347025{col 41}{space 2} .1379953{col 52}{space 1}    2.51{col 61}{space 3}0.012{col 69}{space 4} .0765592{col 82}{space 3} .6174909
{txt}{space 18}iraqsyria {c |}{col 29}{res}{space 2}-.0425826{col 41}{space 2} .1051676{col 52}{space 1}   -0.40{col 61}{space 3}0.686{col 69}{space 4}-.2487074{col 82}{space 3} .1635422
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .3663466{col 41}{space 2} .1847795{col 52}{space 1}    1.98{col 61}{space 3}0.047{col 69}{space 4} .0041855{col 82}{space 3} .7285078
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}female                      {txt}{c |}
{space 9}religious_conflict {c |}{col 29}{res}{space 2}-.0682924{col 41}{space 2}  .044943{col 52}{space 1}   -1.52{col 61}{space 3}0.129{col 69}{space 4}-.1563791{col 82}{space 3} .0197943
{txt}{space 8}Muslim_organization {c |}{col 29}{res}{space 2} .0493832{col 41}{space 2} .0453138{col 52}{space 1}    1.09{col 61}{space 3}0.276{col 69}{space 4}-.0394302{col 82}{space 3} .1381966
{txt}{space 7}foreign_organization {c |}{col 29}{res}{space 2}-.0078272{col 41}{space 2}  .044332{col 52}{space 1}   -0.18{col 61}{space 3}0.860{col 69}{space 4}-.0947164{col 82}{space 3}  .079062
{txt}{space 15}f_occupation {c |}{col 29}{res}{space 2} -.020999{col 41}{space 2} .0329084{col 52}{space 1}   -0.64{col 61}{space 3}0.523{col 69}{space 4}-.0854982{col 82}{space 3} .0435002
{txt}{space 18}iraqsyria {c |}{col 29}{res}{space 2} .0018821{col 41}{space 2}  .040214{col 52}{space 1}    0.05{col 61}{space 3}0.963{col 69}{space 4}-.0769359{col 82}{space 3} .0807002
{txt}{space 8}number_terror_group {c |}{col 29}{res}{space 2}-.0076586{col 41}{space 2} .0037998{col 52}{space 1}   -2.02{col 61}{space 3}0.044{col 69}{space 4} -.015106{col 82}{space 3}-.0002111
{txt}{space 22}_cons {c |}{col 29}{res}{space 2} .1808975{col 41}{space 2} .0510279{col 52}{space 1}    3.55{col 61}{space 3}0.000{col 69}{space 4} .0808846{col 82}{space 3} .2809104
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
                 /athrho2_1 {c |}{col 29}{res}{space 2}  .276923{col 41}{space 2} .2177425{col 52}{space 1}    1.27{col 61}{space 3}0.203{col 69}{space 4}-.1498444{col 82}{space 3} .7036904
{txt}                  /lnsigma2 {c |}{col 29}{res}{space 2}-1.559421{col 41}{space 2} .1819933{col 52}{space 1}   -8.57{col 61}{space 3}0.000{col 69}{space 4}-1.916121{col 82}{space 3} -1.20272
{txt}{hline 28}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
 corr(e.female,e.hardtarget){c |}{col 29}{res}{space 2} .2700549{col 41}{space 2} .2018626{col 69}{space 4}-.1487329{col 82}{space 3}  .606705
{txt}                sd(e.female){c |}{col 29}{res}{space 2} .2102579{col 41}{space 2} .0382655{col 69}{space 4} .1471768{col 82}{space 3}  .300376
{txt}{hline 28}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 15 120}Instrumented:{space 2}female{p_end}
{p 0 15 120}Instruments:{space 3}religious_conflict Muslim_organization foreign_organization f_occupation iraqsyria number_terror_group{p_end}
{hline 93}
Wald test of exogeneity (corr = 0): chi2({res}1{txt}) = {res}1.62{txt}{col 59}Prob > chi2 = {res}0.2034
{txt}
{com}. 
. 
. 
. 
. ***** Appendix 1 *****
. 
. logit target_combatantwithmixed       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3913.0759}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3912.8632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3912.8631}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}    169.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3912.8631{txt}{col 49}Pseudo R2{col 67}= {res}    0.0231

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7683126{col 39}{space 2} .1243238{col 50}{space 1}   -6.18{col 59}{space 3}0.000{col 67}{space 4}-1.011983{col 80}{space 3}-.5246425
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .2929601{col 39}{space 2} .8208258{col 50}{space 1}    0.36{col 59}{space 3}0.721{col 67}{space 4}-1.315829{col 80}{space 3} 1.901749
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2} 1.003565{col 50}{space 1}   -0.80{col 59}{space 3}0.422{col 67}{space 4}-2.772603{col 80}{space 3} 1.161299
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .6709968{col 39}{space 2} .4609049{col 50}{space 1}    1.46{col 59}{space 3}0.145{col 67}{space 4}-.2323602{col 80}{space 3} 1.574354
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1635886{col 39}{space 2} 1.045638{col 50}{space 1}    0.16{col 59}{space 3}0.876{col 67}{space 4}-1.885824{col 80}{space 3} 2.213001
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} -1.00658{col 39}{space 2} 1.049633{col 50}{space 1}   -0.96{col 59}{space 3}0.338{col 67}{space 4}-3.063823{col 80}{space 3} 1.050663
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.211117{col 39}{space 2}   .91676{col 50}{space 1}   -1.32{col 59}{space 3}0.186{col 67}{space 4}-3.007934{col 80}{space 3} .5856994
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2} 1.416794{col 50}{space 1}   -0.57{col 59}{space 3}0.570{col 67}{space 4}-3.582518{col 80}{space 3} 1.971214
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.393439{col 39}{space 2} .5640403{col 50}{space 1}   -2.47{col 59}{space 3}0.013{col 67}{space 4}-2.498937{col 80}{space 3}-.2879401
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.142124{col 39}{space 2} .5915172{col 50}{space 1}   -1.93{col 59}{space 3}0.054{col 67}{space 4}-2.301477{col 80}{space 3} .0172282
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}  -.25642{col 39}{space 2}   .36471{col 50}{space 1}   -0.70{col 59}{space 3}0.482{col 67}{space 4}-.9712385{col 80}{space 3} .4583985
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} -.956624{col 39}{space 2} .4806188{col 50}{space 1}   -1.99{col 59}{space 3}0.047{col 67}{space 4} -1.89862{col 80}{space 3}-.0146284
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2} .5069717{col 50}{space 1}   -1.59{col 59}{space 3}0.112{col 67}{space 4}-1.799298{col 80}{space 3} .1879942
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.4573266{col 39}{space 2} .3806737{col 50}{space 1}   -1.20{col 59}{space 3}0.230{col 67}{space 4}-1.203433{col 80}{space 3} .2887802
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.2829724{col 39}{space 2} .4347554{col 50}{space 1}   -0.65{col 59}{space 3}0.515{col 67}{space 4}-1.135077{col 80}{space 3} .5691325
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.1718237{col 39}{space 2} .3269453{col 50}{space 1}   -0.53{col 59}{space 3}0.599{col 67}{space 4}-.8126246{col 80}{space 3} .4689773
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.219056{col 39}{space 2} .2467712{col 50}{space 1}   -4.94{col 59}{space 3}0.000{col 67}{space 4}-1.702718{col 80}{space 3}-.7353933
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.717006{col 39}{space 2} .2528489{col 50}{space 1}   -6.79{col 59}{space 3}0.000{col 67}{space 4}-2.212581{col 80}{space 3}-1.221431
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7338706{col 39}{space 2} .2008821{col 50}{space 1}   -3.65{col 59}{space 3}0.000{col 67}{space 4}-1.127592{col 80}{space 3}-.3401489
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.2537274{col 39}{space 2} .1599176{col 50}{space 1}   -1.59{col 59}{space 3}0.113{col 67}{space 4}-.5671601{col 80}{space 3} .0597053
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.2546994{col 39}{space 2} .1269386{col 50}{space 1}   -2.01{col 59}{space 3}0.045{col 67}{space 4}-.5034944{col 80}{space 3}-.0059043
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.2439617{col 39}{space 2} .1304921{col 50}{space 1}   -1.87{col 59}{space 3}0.062{col 67}{space 4}-.4997216{col 80}{space 3} .0117981
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}  -.04842{col 39}{space 2} .1199194{col 50}{space 1}   -0.40{col 59}{space 3}0.686{col 67}{space 4}-.2834578{col 80}{space 3} .1866178
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .0136365{col 39}{space 2} .1305394{col 50}{space 1}    0.10{col 59}{space 3}0.917{col 67}{space 4} -.242216{col 80}{space 3}  .269489
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3119401{col 39}{space 2} .1396539{col 50}{space 1}   -2.23{col 59}{space 3}0.026{col 67}{space 4}-.5856566{col 80}{space 3}-.0382235
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5134738{col 39}{space 2} .1379736{col 50}{space 1}   -3.72{col 59}{space 3}0.000{col 67}{space 4}-.7838971{col 80}{space 3}-.2430506
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0763304{col 39}{space 2} .1601636{col 50}{space 1}   -0.48{col 59}{space 3}0.634{col 67}{space 4}-.3902452{col 80}{space 3} .2375844
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1903261{col 39}{space 2} .1611729{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4} -.125567{col 80}{space 3} .5062192
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1209804{col 39}{space 2} .1365885{col 50}{space 1}    0.89{col 59}{space 3}0.376{col 67}{space 4}-.1467282{col 80}{space 3}  .388689
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0218758{col 39}{space 2}  .130656{col 50}{space 1}   -0.17{col 59}{space 3}0.867{col 67}{space 4}-.2779569{col 80}{space 3} .2342053
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2831128{col 39}{space 2} .1161267{col 50}{space 1}   -2.44{col 59}{space 3}0.015{col 67}{space 4}-.5107169{col 80}{space 3}-.0555087
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8056521{col 39}{space 2} .0835436{col 50}{space 1}    9.64{col 59}{space 3}0.000{col 67}{space 4} .6419096{col 80}{space 3} .9693946
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3909.4516}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3909.2247}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3909.2246}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}    177.15
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3909.2246{txt}{col 49}Pseudo R2{col 67}= {res}    0.0240

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7761254{col 39}{space 2} .1244167{col 50}{space 1}   -6.24{col 59}{space 3}0.000{col 67}{space 4}-1.019978{col 80}{space 3}-.5322731
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.3014812{col 39}{space 2} .1147129{col 50}{space 1}   -2.63{col 59}{space 3}0.009{col 67}{space 4}-.5263145{col 80}{space 3} -.076648
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3042437{col 39}{space 2} .8208348{col 50}{space 1}    0.37{col 59}{space 3}0.711{col 67}{space 4}-1.304563{col 80}{space 3}  1.91305
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2} 1.003572{col 50}{space 1}   -0.79{col 59}{space 3}0.429{col 67}{space 4}-2.761334{col 80}{space 3} 1.172597
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2}  .506942{col 39}{space 2} .4550333{col 50}{space 1}    1.11{col 59}{space 3}0.265{col 67}{space 4}-.3849069{col 80}{space 3} 1.398791
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.0269884{col 39}{space 2} 1.083266{col 50}{space 1}   -0.02{col 59}{space 3}0.980{col 67}{space 4}-2.150152{col 80}{space 3} 2.096175
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.178987{col 39}{space 2}  1.11675{col 50}{space 1}   -1.06{col 59}{space 3}0.291{col 67}{space 4}-3.367778{col 80}{space 3} 1.009803
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.261386{col 39}{space 2} .9440047{col 50}{space 1}   -1.34{col 59}{space 3}0.181{col 67}{space 4}-3.111601{col 80}{space 3} .5888294
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2}   1.4168{col 50}{space 1}   -0.56{col 59}{space 3}0.575{col 67}{space 4}-3.571245{col 80}{space 3} 1.982508
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.382155{col 39}{space 2} .5640534{col 50}{space 1}   -2.45{col 59}{space 3}0.014{col 67}{space 4} -2.48768{col 80}{space 3}-.2766307
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.130841{col 39}{space 2} .5915298{col 50}{space 1}   -1.91{col 59}{space 3}0.056{col 67}{space 4}-2.290218{col 80}{space 3} .0285364
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.2448993{col 39}{space 2} .3648061{col 50}{space 1}   -0.67{col 59}{space 3}0.502{col 67}{space 4}-.9599062{col 80}{space 3} .4701076
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-.9993987{col 39}{space 2}  .465932{col 50}{space 1}   -2.14{col 59}{space 3}0.032{col 67}{space 4}-1.912609{col 80}{space 3}-.0861887
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2} .5069864{col 50}{space 1}   -1.57{col 59}{space 3}0.117{col 67}{space 4}-1.788044{col 80}{space 3} .1993066
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.5007957{col 39}{space 2} .3846401{col 50}{space 1}   -1.30{col 59}{space 3}0.193{col 67}{space 4}-1.254676{col 80}{space 3} .2530851
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} -.418228{col 39}{space 2} .4435865{col 50}{space 1}   -0.94{col 59}{space 3}0.346{col 67}{space 4}-1.287641{col 80}{space 3} .4511855
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.1791867{col 39}{space 2} .3315919{col 50}{space 1}   -0.54{col 59}{space 3}0.589{col 67}{space 4}-.8290949{col 80}{space 3} .4707215
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.235874{col 39}{space 2} .2455683{col 50}{space 1}   -5.03{col 59}{space 3}0.000{col 67}{space 4}-1.717179{col 80}{space 3}-.7545692
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2} -1.70914{col 39}{space 2} .2531965{col 50}{space 1}   -6.75{col 59}{space 3}0.000{col 67}{space 4}-2.205396{col 80}{space 3}-1.212884
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7314688{col 39}{space 2} .2009568{col 50}{space 1}   -3.64{col 59}{space 3}0.000{col 67}{space 4}-1.125337{col 80}{space 3}-.3376007
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.2749996{col 39}{space 2} .1602845{col 50}{space 1}   -1.72{col 59}{space 3}0.086{col 67}{space 4}-.5891515{col 80}{space 3} .0391523
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.2621918{col 39}{space 2} .1268699{col 50}{space 1}   -2.07{col 59}{space 3}0.039{col 67}{space 4}-.5108522{col 80}{space 3}-.0135315
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.2842088{col 39}{space 2} .1315309{col 50}{space 1}   -2.16{col 59}{space 3}0.031{col 67}{space 4}-.5420046{col 80}{space 3}-.0264129
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.0806448{col 39}{space 2} .1205442{col 50}{space 1}   -0.67{col 59}{space 3}0.503{col 67}{space 4} -.316907{col 80}{space 3} .1556175
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .0114794{col 39}{space 2} .1306139{col 50}{space 1}    0.09{col 59}{space 3}0.930{col 67}{space 4}-.2445192{col 80}{space 3}  .267478
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3210639{col 39}{space 2} .1399877{col 50}{space 1}   -2.29{col 59}{space 3}0.022{col 67}{space 4}-.5954349{col 80}{space 3} -.046693
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2} -.521143{col 39}{space 2} .1381618{col 50}{space 1}   -3.77{col 59}{space 3}0.000{col 67}{space 4}-.7919352{col 80}{space 3}-.2503507
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0801048{col 39}{space 2} .1601519{col 50}{space 1}   -0.50{col 59}{space 3}0.617{col 67}{space 4}-.3939968{col 80}{space 3} .2337872
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1911552{col 39}{space 2} .1613201{col 50}{space 1}    1.18{col 59}{space 3}0.236{col 67}{space 4}-.1250264{col 80}{space 3} .5073369
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}  .127031{col 39}{space 2}  .136704{col 50}{space 1}    0.93{col 59}{space 3}0.353{col 67}{space 4}-.1409039{col 80}{space 3}  .394966
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0134047{col 39}{space 2} .1307483{col 50}{space 1}   -0.10{col 59}{space 3}0.918{col 67}{space 4}-.2696667{col 80}{space 3} .2428573
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2773916{col 39}{space 2} .1160702{col 50}{space 1}   -2.39{col 59}{space 3}0.017{col 67}{space 4}-.5048849{col 80}{space 3}-.0498983
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  1.09585{col 39}{space 2} .1388356{col 50}{space 1}    7.89{col 59}{space 3}0.000{col 67}{space 4}  .823737{col 80}{space 3} 1.367962
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3904.8656}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3904.6083}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3904.6082}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}34{txt}){col 67}= {res}    183.93
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3904.6082{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7672529{col 39}{space 2} .1248696{col 50}{space 1}   -6.14{col 59}{space 3}0.000{col 67}{space 4}-1.011993{col 80}{space 3}-.5225129
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.0536823{col 39}{space 2}  .142709{col 50}{space 1}   -0.38{col 59}{space 3}0.707{col 67}{space 4}-.3333868{col 80}{space 3} .2260221
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.3899705{col 39}{space 2} .1301512{col 50}{space 1}   -3.00{col 59}{space 3}0.003{col 67}{space 4}-.6450623{col 80}{space 3}-.1348788
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}  .018262{col 39}{space 2} .0601691{col 50}{space 1}    0.30{col 59}{space 3}0.761{col 67}{space 4}-.0996672{col 80}{space 3} .1361913
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3068857{col 39}{space 2} .8236221{col 50}{space 1}    0.37{col 59}{space 3}0.709{col 67}{space 4}-1.307384{col 80}{space 3} 1.921155
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7940184{col 39}{space 2} 1.006262{col 50}{space 1}   -0.79{col 59}{space 3}0.430{col 67}{space 4}-2.766256{col 80}{space 3} 1.178219
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .4365596{col 39}{space 2} .4786988{col 50}{space 1}    0.91{col 59}{space 3}0.362{col 67}{space 4}-.5016728{col 80}{space 3} 1.374792
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.1195402{col 39}{space 2} 1.108663{col 50}{space 1}   -0.11{col 59}{space 3}0.914{col 67}{space 4}-2.292481{col 80}{space 3}   2.0534
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.176467{col 39}{space 2} .9893646{col 50}{space 1}   -1.19{col 59}{space 3}0.234{col 67}{space 4}-3.115586{col 80}{space 3} .7626522
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.599358{col 39}{space 2} .9290556{col 50}{space 1}   -1.72{col 59}{space 3}0.085{col 67}{space 4}-3.420273{col 80}{space 3} .2215579
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.9935692{col 39}{space 2} 1.298816{col 50}{space 1}   -0.76{col 59}{space 3}0.444{col 67}{space 4}-3.539201{col 80}{space 3} 1.552062
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.464085{col 39}{space 2} .5562851{col 50}{space 1}   -2.63{col 59}{space 3}0.008{col 67}{space 4}-2.554383{col 80}{space 3}-.3737857
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2} -1.26139{col 39}{space 2} .5754451{col 50}{space 1}   -2.19{col 59}{space 3}0.028{col 67}{space 4}-2.389242{col 80}{space 3}-.1335388
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.4614532{col 39}{space 2} .3679833{col 50}{space 1}   -1.25{col 59}{space 3}0.210{col 67}{space 4}-1.182687{col 80}{space 3} .2597809
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-1.157017{col 39}{space 2}  .494408{col 50}{space 1}   -2.34{col 59}{space 3}0.019{col 67}{space 4}-2.126039{col 80}{space 3} -.187995
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9599128{col 39}{space 2}  .487696{col 50}{space 1}   -1.97{col 59}{space 3}0.049{col 67}{space 4}-1.915779{col 80}{space 3}-.0040463
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.7066223{col 39}{space 2} .3860303{col 50}{space 1}   -1.83{col 59}{space 3}0.067{col 67}{space 4}-1.463228{col 80}{space 3} .0499832
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.5170158{col 39}{space 2} .4578898{col 50}{space 1}   -1.13{col 59}{space 3}0.259{col 67}{space 4}-1.414463{col 80}{space 3} .3804316
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.3591137{col 39}{space 2} .3458405{col 50}{space 1}   -1.04{col 59}{space 3}0.299{col 67}{space 4}-1.036949{col 80}{space 3} .3187213
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.269035{col 39}{space 2} .2461698{col 50}{space 1}   -5.16{col 59}{space 3}0.000{col 67}{space 4}-1.751519{col 80}{space 3}-.7865514
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.707792{col 39}{space 2} .2558446{col 50}{space 1}   -6.68{col 59}{space 3}0.000{col 67}{space 4}-2.209238{col 80}{space 3}-1.206346
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7776749{col 39}{space 2} .2004743{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-1.170597{col 80}{space 3}-.3847524
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.3210777{col 39}{space 2} .1607658{col 50}{space 1}   -2.00{col 59}{space 3}0.046{col 67}{space 4}-.6361729{col 80}{space 3}-.0059825
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.3203223{col 39}{space 2} .1284274{col 50}{space 1}   -2.49{col 59}{space 3}0.013{col 67}{space 4}-.5720355{col 80}{space 3}-.0686092
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.3219934{col 39}{space 2} .1325069{col 50}{space 1}   -2.43{col 59}{space 3}0.015{col 67}{space 4}-.5817021{col 80}{space 3}-.0622847
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.1094394{col 39}{space 2} .1213765{col 50}{space 1}   -0.90{col 59}{space 3}0.367{col 67}{space 4} -.347333{col 80}{space 3} .1284543
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}-.0094745{col 39}{space 2} .1316011{col 50}{space 1}   -0.07{col 59}{space 3}0.943{col 67}{space 4}-.2674079{col 80}{space 3} .2484589
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3319239{col 39}{space 2} .1425219{col 50}{space 1}   -2.33{col 59}{space 3}0.020{col 67}{space 4}-.6112618{col 80}{space 3}-.0525861
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5280426{col 39}{space 2} .1404464{col 50}{space 1}   -3.76{col 59}{space 3}0.000{col 67}{space 4}-.8033125{col 80}{space 3}-.2527727
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0855106{col 39}{space 2}  .162219{col 50}{space 1}   -0.53{col 59}{space 3}0.598{col 67}{space 4} -.403454{col 80}{space 3} .2324328
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1919787{col 39}{space 2} .1627968{col 50}{space 1}    1.18{col 59}{space 3}0.238{col 67}{space 4}-.1270973{col 80}{space 3} .5110546
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1193958{col 39}{space 2}  .137573{col 50}{space 1}    0.87{col 59}{space 3}0.385{col 67}{space 4}-.1502423{col 80}{space 3} .3890338
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0141795{col 39}{space 2} .1317814{col 50}{space 1}   -0.11{col 59}{space 3}0.914{col 67}{space 4}-.2724663{col 80}{space 3} .2441073
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2801947{col 39}{space 2} .1162494{col 50}{space 1}   -2.41{col 59}{space 3}0.016{col 67}{space 4}-.5080393{col 80}{space 3}-.0523501
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.233106{col 39}{space 2} .1487504{col 50}{space 1}    8.29{col 59}{space 3}0.000{col 67}{space 4} .9415603{col 80}{space 3} 1.524651
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3852.3755}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3851.8453}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3851.8452}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}36{txt}){col 67}= {res}    280.66
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3851.8452{txt}{col 49}Pseudo R2{col 67}= {res}    0.0383

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7124603{col 39}{space 2} .1285782{col 50}{space 1}   -5.54{col 59}{space 3}0.000{col 67}{space 4}-.9644689{col 80}{space 3}-.4604518
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.0455968{col 39}{space 2} .1426265{col 50}{space 1}   -0.32{col 59}{space 3}0.749{col 67}{space 4}-.3251396{col 80}{space 3}  .233946
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.2433873{col 39}{space 2} .1356928{col 50}{space 1}   -1.79{col 59}{space 3}0.073{col 67}{space 4}-.5093403{col 80}{space 3} .0225657
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.2833107{col 39}{space 2} .0904653{col 50}{space 1}   -3.13{col 59}{space 3}0.002{col 67}{space 4}-.4606195{col 80}{space 3}-.1060019
{txt}{space 13}f_occupation {c |}{col 27}{res}{space 2} .6668501{col 39}{space 2} .0831131{col 50}{space 1}    8.02{col 59}{space 3}0.000{col 67}{space 4} .5039514{col 80}{space 3} .8297488
{txt}{space 16}iraqsyria {c |}{col 27}{res}{space 2} .3698915{col 39}{space 2} .0920137{col 50}{space 1}    4.02{col 59}{space 3}0.000{col 67}{space 4} .1895479{col 80}{space 3} .5502351
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3274358{col 39}{space 2} .8012157{col 50}{space 1}    0.41{col 59}{space 3}0.683{col 67}{space 4}-1.242918{col 80}{space 3}  1.89779
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7380859{col 39}{space 2} .9738265{col 50}{space 1}   -0.76{col 59}{space 3}0.448{col 67}{space 4}-2.646751{col 80}{space 3} 1.170579
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .5077826{col 39}{space 2} .4690135{col 50}{space 1}    1.08{col 59}{space 3}0.279{col 67}{space 4}-.4114671{col 80}{space 3} 1.427032
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.0568193{col 39}{space 2} 1.096219{col 50}{space 1}   -0.05{col 59}{space 3}0.959{col 67}{space 4}-2.205368{col 80}{space 3}  2.09173
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.166016{col 39}{space 2} 1.025285{col 50}{space 1}   -1.14{col 59}{space 3}0.255{col 67}{space 4}-3.175537{col 80}{space 3} .8435051
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.411042{col 39}{space 2} .9112497{col 50}{space 1}   -1.55{col 59}{space 3}0.122{col 67}{space 4}-3.197059{col 80}{space 3} .3749745
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.7887745{col 39}{space 2} 1.256292{col 50}{space 1}   -0.63{col 59}{space 3}0.530{col 67}{space 4}-3.251062{col 80}{space 3} 1.673513
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -1.47727{col 39}{space 2} .5654669{col 50}{space 1}   -2.61{col 59}{space 3}0.009{col 67}{space 4}-2.585565{col 80}{space 3} -.368975
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.181945{col 39}{space 2} .5730597{col 50}{space 1}   -2.06{col 59}{space 3}0.039{col 67}{space 4}-2.305121{col 80}{space 3}-.0587684
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.3559153{col 39}{space 2} .3693626{col 50}{space 1}   -0.96{col 59}{space 3}0.335{col 67}{space 4}-1.079853{col 80}{space 3} .3680221
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-1.138375{col 39}{space 2} .4822681{col 50}{space 1}   -2.36{col 59}{space 3}0.018{col 67}{space 4}-2.083603{col 80}{space 3}-.1931464
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9562875{col 39}{space 2} .4878788{col 50}{space 1}   -1.96{col 59}{space 3}0.050{col 67}{space 4}-1.912512{col 80}{space 3}-.0000626
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.6366234{col 39}{space 2} .3814551{col 50}{space 1}   -1.67{col 59}{space 3}0.095{col 67}{space 4}-1.384262{col 80}{space 3} .1110149
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.4894385{col 39}{space 2} .4530935{col 50}{space 1}   -1.08{col 59}{space 3}0.280{col 67}{space 4}-1.377486{col 80}{space 3} .3986086
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.2881229{col 39}{space 2} .3432359{col 50}{space 1}   -0.84{col 59}{space 3}0.401{col 67}{space 4}-.9608529{col 80}{space 3}  .384607
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.253698{col 39}{space 2} .2463182{col 50}{space 1}   -5.09{col 59}{space 3}0.000{col 67}{space 4}-1.736473{col 80}{space 3}-.7709231
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.721071{col 39}{space 2} .2546961{col 50}{space 1}   -6.76{col 59}{space 3}0.000{col 67}{space 4}-2.220266{col 80}{space 3}-1.221876
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-1.093984{col 39}{space 2} .1994135{col 50}{space 1}   -5.49{col 59}{space 3}0.000{col 67}{space 4}-1.484827{col 80}{space 3} -.703141
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.8514665{col 39}{space 2} .1695771{col 50}{space 1}   -5.02{col 59}{space 3}0.000{col 67}{space 4}-1.183832{col 80}{space 3}-.5191014
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-1.014366{col 39}{space 2} .1452598{col 50}{space 1}   -6.98{col 59}{space 3}0.000{col 67}{space 4} -1.29907{col 80}{space 3}-.7296618
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.9618575{col 39}{space 2} .1516126{col 50}{space 1}   -6.34{col 59}{space 3}0.000{col 67}{space 4}-1.259013{col 80}{space 3}-.6647022
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.7081486{col 39}{space 2} .1392563{col 50}{space 1}   -5.09{col 59}{space 3}0.000{col 67}{space 4}-.9810859{col 80}{space 3}-.4352113
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}-.5236853{col 39}{space 2} .1455542{col 50}{space 1}   -3.60{col 59}{space 3}0.000{col 67}{space 4}-.8089662{col 80}{space 3}-.2384043
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.7463576{col 39}{space 2} .1544885{col 50}{space 1}   -4.83{col 59}{space 3}0.000{col 67}{space 4}-1.049149{col 80}{space 3}-.4435657
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.7739613{col 39}{space 2} .1423506{col 50}{space 1}   -5.44{col 59}{space 3}0.000{col 67}{space 4}-1.052963{col 80}{space 3}-.4949593
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.3847237{col 39}{space 2} .1684318{col 50}{space 1}   -2.28{col 59}{space 3}0.022{col 67}{space 4}-.7148439{col 80}{space 3}-.0546035
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .0140485{col 39}{space 2} .1643496{col 50}{space 1}    0.09{col 59}{space 3}0.932{col 67}{space 4}-.3080707{col 80}{space 3} .3361678
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}-.0487592{col 39}{space 2} .1390425{col 50}{space 1}   -0.35{col 59}{space 3}0.726{col 67}{space 4}-.3212774{col 80}{space 3} .2237591
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0433829{col 39}{space 2} .1320722{col 50}{space 1}   -0.33{col 59}{space 3}0.743{col 67}{space 4}-.3022396{col 80}{space 3} .2154738
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2856168{col 39}{space 2} .1157812{col 50}{space 1}   -2.47{col 59}{space 3}0.014{col 67}{space 4}-.5125438{col 80}{space 3}-.0586899
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  1.09772{col 39}{space 2} .1570914{col 50}{space 1}    6.99{col 59}{space 3}0.000{col 67}{space 4} .7898268{col 80}{space 3} 1.405614
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3913.0759}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3912.8632}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3912.8631}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(29)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3912.8631{txt}{col 49}Pseudo R2{col 67}= {res}    0.0231

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7683126{col 39}{space 2} .1940469{col 50}{space 1}   -3.96{col 59}{space 3}0.000{col 67}{space 4}-1.148638{col 80}{space 3}-.3879876
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .2929601{col 39}{space 2} .7554859{col 50}{space 1}    0.39{col 59}{space 3}0.698{col 67}{space 4}-1.187765{col 80}{space 3} 1.773685
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2} .7554859{col 50}{space 1}   -1.07{col 59}{space 3}0.286{col 67}{space 4}-2.286377{col 80}{space 3} .6750731
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .6709968{col 39}{space 2} .4091678{col 50}{space 1}    1.64{col 59}{space 3}0.101{col 67}{space 4}-.1309573{col 80}{space 3} 1.472951
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1635886{col 39}{space 2} .2014451{col 50}{space 1}    0.81{col 59}{space 3}0.417{col 67}{space 4}-.2312366{col 80}{space 3} .5584138
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} -1.00658{col 39}{space 2} 1.220592{col 50}{space 1}   -0.82{col 59}{space 3}0.410{col 67}{space 4}-3.398896{col 80}{space 3} 1.385736
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.211117{col 39}{space 2} .5207763{col 50}{space 1}   -2.33{col 59}{space 3}0.020{col 67}{space 4} -2.23182{col 80}{space 3}-.1904144
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2}  1.43998{col 50}{space 1}   -0.56{col 59}{space 3}0.576{col 67}{space 4}-3.627961{col 80}{space 3} 2.016657
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.393439{col 39}{space 2} .4700706{col 50}{space 1}   -2.96{col 59}{space 3}0.003{col 67}{space 4} -2.31476{col 80}{space 3}-.4721173
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.142124{col 39}{space 2} .5664429{col 50}{space 1}   -2.02{col 59}{space 3}0.044{col 67}{space 4}-2.252332{col 80}{space 3}-.0319166
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}  -.25642{col 39}{space 2} .6100453{col 50}{space 1}   -0.42{col 59}{space 3}0.674{col 67}{space 4}-1.452087{col 80}{space 3} .9392468
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} -.956624{col 39}{space 2} .7090646{col 50}{space 1}   -1.35{col 59}{space 3}0.177{col 67}{space 4}-2.346365{col 80}{space 3} .4331171
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8056521{col 39}{space 2} 1.008669{col 50}{space 1}   -0.80{col 59}{space 3}0.424{col 67}{space 4}-2.782607{col 80}{space 3} 1.171303
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.4573266{col 39}{space 2} .6051128{col 50}{space 1}   -0.76{col 59}{space 3}0.450{col 67}{space 4}-1.643326{col 80}{space 3} .7286727
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.2829724{col 39}{space 2} .5108255{col 50}{space 1}   -0.55{col 59}{space 3}0.580{col 67}{space 4}-1.284172{col 80}{space 3} .7182272
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.1718237{col 39}{space 2}  .404758{col 50}{space 1}   -0.42{col 59}{space 3}0.671{col 67}{space 4}-.9651348{col 80}{space 3} .6214875
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.219056{col 39}{space 2} .4784062{col 50}{space 1}   -2.55{col 59}{space 3}0.011{col 67}{space 4}-2.156715{col 80}{space 3}-.2813969
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.717006{col 39}{space 2} .2379427{col 50}{space 1}   -7.22{col 59}{space 3}0.000{col 67}{space 4}-2.183365{col 80}{space 3}-1.250647
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7338706{col 39}{space 2} .4732065{col 50}{space 1}   -1.55{col 59}{space 3}0.121{col 67}{space 4}-1.661338{col 80}{space 3} .1935971
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.2537274{col 39}{space 2} .3429207{col 50}{space 1}   -0.74{col 59}{space 3}0.459{col 67}{space 4}-.9258396{col 80}{space 3} .4183848
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.2546994{col 39}{space 2} .2029315{col 50}{space 1}   -1.26{col 59}{space 3}0.209{col 67}{space 4}-.6524379{col 80}{space 3} .1430391
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.2439617{col 39}{space 2} .3797912{col 50}{space 1}   -0.64{col 59}{space 3}0.521{col 67}{space 4}-.9883389{col 80}{space 3} .5004154
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}  -.04842{col 39}{space 2} .3924345{col 50}{space 1}   -0.12{col 59}{space 3}0.902{col 67}{space 4}-.8175775{col 80}{space 3} .7207376
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .0136365{col 39}{space 2}  .320838{col 50}{space 1}    0.04{col 59}{space 3}0.966{col 67}{space 4}-.6151944{col 80}{space 3} .6424675
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3119401{col 39}{space 2}  .315992{col 50}{space 1}   -0.99{col 59}{space 3}0.324{col 67}{space 4} -.931273{col 80}{space 3} .3073929
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5134738{col 39}{space 2} .4585461{col 50}{space 1}   -1.12{col 59}{space 3}0.263{col 67}{space 4}-1.412208{col 80}{space 3}   .38526
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0763304{col 39}{space 2}  .332429{col 50}{space 1}   -0.23{col 59}{space 3}0.818{col 67}{space 4}-.7278792{col 80}{space 3} .5752184
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1903261{col 39}{space 2} .3077963{col 50}{space 1}    0.62{col 59}{space 3}0.536{col 67}{space 4}-.4129435{col 80}{space 3} .7935957
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1209804{col 39}{space 2} .3190997{col 50}{space 1}    0.38{col 59}{space 3}0.705{col 67}{space 4}-.5044435{col 80}{space 3} .7464043
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0218758{col 39}{space 2} .2869802{col 50}{space 1}   -0.08{col 59}{space 3}0.939{col 67}{space 4}-.5843466{col 80}{space 3}  .540595
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2831128{col 39}{space 2} .3591673{col 50}{space 1}   -0.79{col 59}{space 3}0.431{col 67}{space 4}-.9870677{col 80}{space 3} .4208421
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8056521{col 39}{space 2} .2007304{col 50}{space 1}    4.01{col 59}{space 3}0.000{col 67}{space 4} .4122278{col 80}{space 3} 1.199076
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3909.4516}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3909.2247}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3909.2246}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(30)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3909.2246{txt}{col 49}Pseudo R2{col 67}= {res}    0.0240

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7761254{col 39}{space 2}  .193188{col 50}{space 1}   -4.02{col 59}{space 3}0.000{col 67}{space 4}-1.154767{col 80}{space 3}-.3974838
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.3014812{col 39}{space 2} .2923866{col 50}{space 1}   -1.03{col 59}{space 3}0.302{col 67}{space 4}-.8745483{col 80}{space 3} .2715859
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3042437{col 39}{space 2} .7556096{col 50}{space 1}    0.40{col 59}{space 3}0.687{col 67}{space 4}-1.176724{col 80}{space 3} 1.785211
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2} .7556096{col 50}{space 1}   -1.05{col 59}{space 3}0.293{col 67}{space 4}-2.275336{col 80}{space 3} .6865991
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2}  .506942{col 39}{space 2} .4551876{col 50}{space 1}    1.11{col 59}{space 3}0.265{col 67}{space 4}-.3852093{col 80}{space 3} 1.399093
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.0269884{col 39}{space 2} .3271703{col 50}{space 1}   -0.08{col 59}{space 3}0.934{col 67}{space 4}-.6682304{col 80}{space 3} .6142536
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.178987{col 39}{space 2} 1.353517{col 50}{space 1}   -0.87{col 59}{space 3}0.384{col 67}{space 4}-3.831832{col 80}{space 3} 1.473857
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.261386{col 39}{space 2} .6058001{col 50}{space 1}   -2.08{col 59}{space 3}0.037{col 67}{space 4}-2.448732{col 80}{space 3}-.0740395
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2}  1.43803{col 50}{space 1}   -0.55{col 59}{space 3}0.581{col 67}{space 4}-3.612855{col 80}{space 3} 2.024118
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.382155{col 39}{space 2} .4665163{col 50}{space 1}   -2.96{col 59}{space 3}0.003{col 67}{space 4} -2.29651{col 80}{space 3}   -.4678
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.130841{col 39}{space 2} .5634512{col 50}{space 1}   -2.01{col 59}{space 3}0.045{col 67}{space 4}-2.235185{col 80}{space 3}-.0264967
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.2448993{col 39}{space 2} .6085366{col 50}{space 1}   -0.40{col 59}{space 3}0.687{col 67}{space 4}-1.437609{col 80}{space 3} .9478106
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-.9993987{col 39}{space 2} .6739598{col 50}{space 1}   -1.48{col 59}{space 3}0.138{col 67}{space 4}-2.320336{col 80}{space 3} .3215383
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.7943685{col 39}{space 2} 1.006269{col 50}{space 1}   -0.79{col 59}{space 3}0.430{col 67}{space 4}-2.766619{col 80}{space 3} 1.177882
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.5007957{col 39}{space 2}  .642976{col 50}{space 1}   -0.78{col 59}{space 3}0.436{col 67}{space 4}-1.761006{col 80}{space 3} .7594142
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} -.418228{col 39}{space 2} .5195676{col 50}{space 1}   -0.80{col 59}{space 3}0.421{col 67}{space 4}-1.436562{col 80}{space 3} .6001059
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.1791867{col 39}{space 2} .4132179{col 50}{space 1}   -0.43{col 59}{space 3}0.665{col 67}{space 4}-.9890788{col 80}{space 3} .6307055
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.235874{col 39}{space 2} .4757227{col 50}{space 1}   -2.60{col 59}{space 3}0.009{col 67}{space 4}-2.168274{col 80}{space 3}-.3034748
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2} -1.70914{col 39}{space 2} .2390742{col 50}{space 1}   -7.15{col 59}{space 3}0.000{col 67}{space 4}-2.177717{col 80}{space 3}-1.240563
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7314688{col 39}{space 2} .4697362{col 50}{space 1}   -1.56{col 59}{space 3}0.119{col 67}{space 4}-1.652135{col 80}{space 3} .1891972
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.2749996{col 39}{space 2} .3252313{col 50}{space 1}   -0.85{col 59}{space 3}0.398{col 67}{space 4}-.9124413{col 80}{space 3}  .362442
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.2621918{col 39}{space 2} .1969812{col 50}{space 1}   -1.33{col 59}{space 3}0.183{col 67}{space 4}-.6482679{col 80}{space 3} .1238843
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.2842088{col 39}{space 2} .4266159{col 50}{space 1}   -0.67{col 59}{space 3}0.505{col 67}{space 4} -1.12036{col 80}{space 3} .5519429
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.0806448{col 39}{space 2} .4294429{col 50}{space 1}   -0.19{col 59}{space 3}0.851{col 67}{space 4}-.9223373{col 80}{space 3} .7610478
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .0114794{col 39}{space 2} .3266478{col 50}{space 1}    0.04{col 59}{space 3}0.972{col 67}{space 4}-.6287386{col 80}{space 3} .6516973
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3210639{col 39}{space 2} .3247104{col 50}{space 1}   -0.99{col 59}{space 3}0.323{col 67}{space 4}-.9574845{col 80}{space 3} .3153567
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2} -.521143{col 39}{space 2} .4698333{col 50}{space 1}   -1.11{col 59}{space 3}0.267{col 67}{space 4}-1.441999{col 80}{space 3} .3997133
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0801048{col 39}{space 2} .3399758{col 50}{space 1}   -0.24{col 59}{space 3}0.814{col 67}{space 4}-.7464451{col 80}{space 3} .5862356
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1911552{col 39}{space 2}  .310106{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.4166414{col 80}{space 3} .7989519
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}  .127031{col 39}{space 2}  .318546{col 50}{space 1}    0.40{col 59}{space 3}0.690{col 67}{space 4}-.4973077{col 80}{space 3} .7513697
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0134047{col 39}{space 2} .2861613{col 50}{space 1}   -0.05{col 59}{space 3}0.963{col 67}{space 4}-.5742705{col 80}{space 3}  .547461
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2773916{col 39}{space 2}  .359802{col 50}{space 1}   -0.77{col 59}{space 3}0.441{col 67}{space 4}-.9825906{col 80}{space 3} .4278075
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  1.09585{col 39}{space 2} .4338224{col 50}{space 1}    2.53{col 59}{space 3}0.012{col 67}{space 4} .2455735{col 80}{space 3} 1.946126
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3904.8656}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3904.6083}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3904.6082}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(32)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3904.6082{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7672529{col 39}{space 2} .1972415{col 50}{space 1}   -3.89{col 59}{space 3}0.000{col 67}{space 4}-1.153839{col 80}{space 3}-.3806667
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.0536823{col 39}{space 2} .2400418{col 50}{space 1}   -0.22{col 59}{space 3}0.823{col 67}{space 4}-.5241556{col 80}{space 3}  .416791
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.3899705{col 39}{space 2} .3051012{col 50}{space 1}   -1.28{col 59}{space 3}0.201{col 67}{space 4}-.9879578{col 80}{space 3} .2080167
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}  .018262{col 39}{space 2} .2594287{col 50}{space 1}    0.07{col 59}{space 3}0.944{col 67}{space 4}-.4902088{col 80}{space 3} .5267328
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3068857{col 39}{space 2} .7640112{col 50}{space 1}    0.40{col 59}{space 3}0.688{col 67}{space 4}-1.190549{col 80}{space 3}  1.80432
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7940184{col 39}{space 2} .7625592{col 50}{space 1}   -1.04{col 59}{space 3}0.298{col 67}{space 4}-2.288607{col 80}{space 3} .7005701
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .4365596{col 39}{space 2} .4604806{col 50}{space 1}    0.95{col 59}{space 3}0.343{col 67}{space 4}-.4659659{col 80}{space 3} 1.339085
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.1195402{col 39}{space 2}  .332586{col 50}{space 1}   -0.36{col 59}{space 3}0.719{col 67}{space 4}-.7713968{col 80}{space 3} .5323164
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.176467{col 39}{space 2} 1.202222{col 50}{space 1}   -0.98{col 59}{space 3}0.328{col 67}{space 4}-3.532778{col 80}{space 3} 1.179844
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.599358{col 39}{space 2} .5909043{col 50}{space 1}   -2.71{col 59}{space 3}0.007{col 67}{space 4}-2.757509{col 80}{space 3}-.4412066
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.9935692{col 39}{space 2} 1.308416{col 50}{space 1}   -0.76{col 59}{space 3}0.448{col 67}{space 4}-3.558016{col 80}{space 3} 1.570878
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-1.464085{col 39}{space 2} .4622999{col 50}{space 1}   -3.17{col 59}{space 3}0.002{col 67}{space 4}-2.370176{col 80}{space 3}-.5579933
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2} -1.26139{col 39}{space 2} .4832004{col 50}{space 1}   -2.61{col 59}{space 3}0.009{col 67}{space 4}-2.208446{col 80}{space 3} -.314335
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.4614532{col 39}{space 2} .5424354{col 50}{space 1}   -0.85{col 59}{space 3}0.395{col 67}{space 4}-1.524607{col 80}{space 3} .6017006
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-1.157017{col 39}{space 2}  .808024{col 50}{space 1}   -1.43{col 59}{space 3}0.152{col 67}{space 4}-2.740715{col 80}{space 3}  .426681
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9599128{col 39}{space 2} .9077602{col 50}{space 1}   -1.06{col 59}{space 3}0.290{col 67}{space 4} -2.73909{col 80}{space 3} .8192646
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.7066223{col 39}{space 2} .5820123{col 50}{space 1}   -1.21{col 59}{space 3}0.225{col 67}{space 4}-1.847346{col 80}{space 3} .4341008
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.5170158{col 39}{space 2} .6668514{col 50}{space 1}   -0.78{col 59}{space 3}0.438{col 67}{space 4}-1.824021{col 80}{space 3} .7899889
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.3591137{col 39}{space 2} .5497547{col 50}{space 1}   -0.65{col 59}{space 3}0.514{col 67}{space 4}-1.436613{col 80}{space 3} .7183857
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.269035{col 39}{space 2} .4311005{col 50}{space 1}   -2.94{col 59}{space 3}0.003{col 67}{space 4}-2.113977{col 80}{space 3}-.4240937
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.707792{col 39}{space 2} .2605289{col 50}{space 1}   -6.56{col 59}{space 3}0.000{col 67}{space 4}-2.218419{col 80}{space 3}-1.197165
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7776749{col 39}{space 2}  .427876{col 50}{space 1}   -1.82{col 59}{space 3}0.069{col 67}{space 4}-1.616296{col 80}{space 3} .0609466
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.3210777{col 39}{space 2} .3104608{col 50}{space 1}   -1.03{col 59}{space 3}0.301{col 67}{space 4}-.9295698{col 80}{space 3} .2874143
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.3203223{col 39}{space 2} .1944422{col 50}{space 1}   -1.65{col 59}{space 3}0.099{col 67}{space 4} -.701422{col 80}{space 3} .0607774
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.3219934{col 39}{space 2} .4357667{col 50}{space 1}   -0.74{col 59}{space 3}0.460{col 67}{space 4} -1.17608{col 80}{space 3} .5320936
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.1094394{col 39}{space 2} .4353398{col 50}{space 1}   -0.25{col 59}{space 3}0.802{col 67}{space 4}-.9626897{col 80}{space 3} .7438109
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}-.0094745{col 39}{space 2}   .32589{col 50}{space 1}   -0.03{col 59}{space 3}0.977{col 67}{space 4}-.6482071{col 80}{space 3} .6292582
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.3319239{col 39}{space 2} .3257746{col 50}{space 1}   -1.02{col 59}{space 3}0.308{col 67}{space 4}-.9704304{col 80}{space 3} .3065825
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5280426{col 39}{space 2} .4298725{col 50}{space 1}   -1.23{col 59}{space 3}0.219{col 67}{space 4}-1.370577{col 80}{space 3} .3144919
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.0855106{col 39}{space 2}  .324516{col 50}{space 1}   -0.26{col 59}{space 3}0.792{col 67}{space 4}-.7215502{col 80}{space 3}  .550529
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1919787{col 39}{space 2} .2784537{col 50}{space 1}    0.69{col 59}{space 3}0.491{col 67}{space 4}-.3537806{col 80}{space 3} .7377379
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1193958{col 39}{space 2}  .298144{col 50}{space 1}    0.40{col 59}{space 3}0.689{col 67}{space 4}-.4649558{col 80}{space 3} .7037473
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0141795{col 39}{space 2} .2280176{col 50}{space 1}   -0.06{col 59}{space 3}0.950{col 67}{space 4}-.4610859{col 80}{space 3} .4327269
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2801947{col 39}{space 2} .3360326{col 50}{space 1}   -0.83{col 59}{space 3}0.404{col 67}{space 4}-.9388064{col 80}{space 3}  .378417
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.233106{col 39}{space 2} .4475138{col 50}{space 1}    2.76{col 59}{space 3}0.006{col 67}{space 4} .3559949{col 80}{space 3} 2.110217
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit target_combatantwithmixed       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3*/ yr4 yr5 yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11*/ yr12 yr13 yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-4005.3767}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3852.3755}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3851.8453}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3851.8452}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(34)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3851.8452{txt}{col 49}Pseudo R2{col 67}= {res}    0.0383

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}target_combatantwithmixed{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.7124603{col 39}{space 2} .2108989{col 50}{space 1}   -3.38{col 59}{space 3}0.001{col 67}{space 4}-1.125814{col 80}{space 3}-.2991062
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.0455968{col 39}{space 2} .2595452{col 50}{space 1}   -0.18{col 59}{space 3}0.861{col 67}{space 4}-.5542961{col 80}{space 3} .4631025
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.2433873{col 39}{space 2} .3096895{col 50}{space 1}   -0.79{col 59}{space 3}0.432{col 67}{space 4}-.8503676{col 80}{space 3} .3635929
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.2833107{col 39}{space 2} .2227888{col 50}{space 1}   -1.27{col 59}{space 3}0.203{col 67}{space 4}-.7199687{col 80}{space 3} .1533472
{txt}{space 13}f_occupation {c |}{col 27}{res}{space 2} .6668501{col 39}{space 2} .1998418{col 50}{space 1}    3.34{col 59}{space 3}0.001{col 67}{space 4} .2751675{col 80}{space 3} 1.058533
{txt}{space 16}iraqsyria {c |}{col 27}{res}{space 2} .3698915{col 39}{space 2} .2200647{col 50}{space 1}    1.68{col 59}{space 3}0.093{col 67}{space 4}-.0614274{col 80}{space 3} .8012104
{txt}{space 22}yr4 {c |}{col 27}{res}{space 2} .3274358{col 39}{space 2} .7208401{col 50}{space 1}    0.45{col 59}{space 3}0.650{col 67}{space 4}-1.085385{col 80}{space 3} 1.740257
{txt}{space 22}yr5 {c |}{col 27}{res}{space 2}-.7380859{col 39}{space 2} .6958078{col 50}{space 1}   -1.06{col 59}{space 3}0.289{col 67}{space 4}-2.101844{col 80}{space 3} .6256724
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .5077826{col 39}{space 2} .4373798{col 50}{space 1}    1.16{col 59}{space 3}0.246{col 67}{space 4}-.3494661{col 80}{space 3} 1.365031
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2}-.0568193{col 39}{space 2} .2917167{col 50}{space 1}   -0.19{col 59}{space 3}0.846{col 67}{space 4}-.6285734{col 80}{space 3} .5149349
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}-1.166016{col 39}{space 2} 1.225627{col 50}{space 1}   -0.95{col 59}{space 3}0.341{col 67}{space 4}  -3.5682{col 80}{space 3} 1.236169
{txt}{space 21}yr12 {c |}{col 27}{res}{space 2}-1.411042{col 39}{space 2} .4894794{col 50}{space 1}   -2.88{col 59}{space 3}0.004{col 67}{space 4}-2.370404{col 80}{space 3}-.4516801
{txt}{space 21}yr13 {c |}{col 27}{res}{space 2}-.7887745{col 39}{space 2} 1.221451{col 50}{space 1}   -0.65{col 59}{space 3}0.518{col 67}{space 4}-3.182775{col 80}{space 3} 1.605226
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -1.47727{col 39}{space 2} .4694849{col 50}{space 1}   -3.15{col 59}{space 3}0.002{col 67}{space 4}-2.397443{col 80}{space 3}-.5570963
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-1.181945{col 39}{space 2} .4740799{col 50}{space 1}   -2.49{col 59}{space 3}0.013{col 67}{space 4}-2.111124{col 80}{space 3}-.2527653
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}-.3559153{col 39}{space 2} .5199317{col 50}{space 1}   -0.68{col 59}{space 3}0.494{col 67}{space 4}-1.374963{col 80}{space 3} .6631321
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-1.138375{col 39}{space 2} .8034055{col 50}{space 1}   -1.42{col 59}{space 3}0.157{col 67}{space 4} -2.71302{col 80}{space 3} .4362713
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9562875{col 39}{space 2} .9146304{col 50}{space 1}   -1.05{col 59}{space 3}0.296{col 67}{space 4} -2.74893{col 80}{space 3} .8363551
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.6366234{col 39}{space 2} .5474176{col 50}{space 1}   -1.16{col 59}{space 3}0.245{col 67}{space 4}-1.709542{col 80}{space 3} .4362954
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2}-.4894385{col 39}{space 2} .6334652{col 50}{space 1}   -0.77{col 59}{space 3}0.440{col 67}{space 4}-1.731008{col 80}{space 3} .7521306
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}-.2881229{col 39}{space 2} .5506037{col 50}{space 1}   -0.52{col 59}{space 3}0.601{col 67}{space 4}-1.367286{col 80}{space 3} .7910404
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-1.253698{col 39}{space 2} .4475679{col 50}{space 1}   -2.80{col 59}{space 3}0.005{col 67}{space 4}-2.130915{col 80}{space 3}-.3764809
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.721071{col 39}{space 2} .2610083{col 50}{space 1}   -6.59{col 59}{space 3}0.000{col 67}{space 4}-2.232638{col 80}{space 3}-1.209504
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-1.093984{col 39}{space 2}  .341788{col 50}{space 1}   -3.20{col 59}{space 3}0.001{col 67}{space 4}-1.763876{col 80}{space 3}-.4240921
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.8514665{col 39}{space 2}  .222784{col 50}{space 1}   -3.82{col 59}{space 3}0.000{col 67}{space 4}-1.288115{col 80}{space 3}-.4148179
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-1.014366{col 39}{space 2} .2254901{col 50}{space 1}   -4.50{col 59}{space 3}0.000{col 67}{space 4}-1.456318{col 80}{space 3}-.5724133
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.9618575{col 39}{space 2} .4043696{col 50}{space 1}   -2.38{col 59}{space 3}0.017{col 67}{space 4}-1.754407{col 80}{space 3}-.1693076
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.7081486{col 39}{space 2}  .444482{col 50}{space 1}   -1.59{col 59}{space 3}0.111{col 67}{space 4}-1.579317{col 80}{space 3} .1630202
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}-.5236853{col 39}{space 2} .3876209{col 50}{space 1}   -1.35{col 59}{space 3}0.177{col 67}{space 4}-1.283408{col 80}{space 3} .2360378
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.7463576{col 39}{space 2} .4522738{col 50}{space 1}   -1.65{col 59}{space 3}0.099{col 67}{space 4}-1.632798{col 80}{space 3} .1400828
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.7739613{col 39}{space 2} .3100706{col 50}{space 1}   -2.50{col 59}{space 3}0.013{col 67}{space 4}-1.381689{col 80}{space 3} -.166234
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.3847237{col 39}{space 2} .2882379{col 50}{space 1}   -1.33{col 59}{space 3}0.182{col 67}{space 4}-.9496596{col 80}{space 3} .1802123
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .0140485{col 39}{space 2} .2794519{col 50}{space 1}    0.05{col 59}{space 3}0.960{col 67}{space 4}-.5336671{col 80}{space 3} .5617641
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}-.0487592{col 39}{space 2} .2197912{col 50}{space 1}   -0.22{col 59}{space 3}0.824{col 67}{space 4}-.4795421{col 80}{space 3} .3820237
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2}-.0433829{col 39}{space 2} .2443539{col 50}{space 1}   -0.18{col 59}{space 3}0.859{col 67}{space 4}-.5223078{col 80}{space 3}  .435542
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2856168{col 39}{space 2} .3433781{col 50}{space 1}   -0.83{col 59}{space 3}0.406{col 67}{space 4}-.9586255{col 80}{space 3} .3873918
{txt}{space 20}_cons {c |}{col 27}{res}{space 2}  1.09772{col 39}{space 2} .3656245{col 50}{space 1}    3.00{col 59}{space 3}0.003{col 67}{space 4} .3811094{col 80}{space 3} 1.814331
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Appendix 2 *****
. 
. logit hardtarget_rebel_included       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3706.2731}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3705.3367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3705.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3705.3359}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    175.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3705.3359{txt}{col 49}Pseudo R2{col 67}= {res}    0.0245

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2} -.946724{col 39}{space 2} .1229562{col 50}{space 1}   -7.70{col 59}{space 3}0.000{col 67}{space 4}-1.187714{col 80}{space 3}-.7057343
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} 1.092894{col 39}{space 2} .5271155{col 50}{space 1}    2.07{col 59}{space 3}0.038{col 67}{space 4} .0597663{col 80}{space 3} 2.126021
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1879187{col 39}{space 2} 1.010899{col 50}{space 1}    0.19{col 59}{space 3}0.853{col 67}{space 4}-1.793407{col 80}{space 3} 2.169244
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .5102655{col 39}{space 2} 1.173525{col 50}{space 1}    0.43{col 59}{space 3}0.664{col 67}{space 4}  -1.7898{col 80}{space 3} 2.810331
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-.5628224{col 39}{space 2} .5464973{col 50}{space 1}   -1.03{col 59}{space 3}0.303{col 67}{space 4}-1.633937{col 80}{space 3} .5082926
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5140322{col 39}{space 2}  .591488{col 50}{space 1}   -0.87{col 59}{space 3}0.385{col 67}{space 4}-1.673327{col 80}{space 3}  .645263
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} .0968537{col 39}{space 2} .3901583{col 50}{space 1}    0.25{col 59}{space 3}0.804{col 67}{space 4}-.6678425{col 80}{space 3} .8615499
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} .0407329{col 39}{space 2} .5239733{col 50}{space 1}    0.08{col 59}{space 3}0.938{col 67}{space 4}-.9862359{col 80}{space 3} 1.067702
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8505044{col 39}{space 2} .5069376{col 50}{space 1}   -1.68{col 59}{space 3}0.093{col 67}{space 4}-1.844084{col 80}{space 3} .1430751
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.0751547{col 39}{space 2} .3997791{col 50}{space 1}   -0.19{col 59}{space 3}0.851{col 67}{space 4}-.8587074{col 80}{space 3} .7083979
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .8938964{col 39}{space 2} .5393878{col 50}{space 1}    1.66{col 59}{space 3}0.097{col 67}{space 4}-.1632842{col 80}{space 3} 1.951077
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .2303318{col 39}{space 2} .3588671{col 50}{space 1}    0.64{col 59}{space 3}0.521{col 67}{space 4}-.4730347{col 80}{space 3} .9336984
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9355404{col 39}{space 2} .2439033{col 50}{space 1}   -3.84{col 59}{space 3}0.000{col 67}{space 4}-1.413582{col 80}{space 3}-.4574987
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.392154{col 39}{space 2} .2410244{col 50}{space 1}   -5.78{col 59}{space 3}0.000{col 67}{space 4}-1.864553{col 80}{space 3}-.9197547
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4320413{col 39}{space 2} .2036664{col 50}{space 1}   -2.12{col 59}{space 3}0.034{col 67}{space 4}-.8312201{col 80}{space 3}-.0328625
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2} .0867423{col 39}{space 2} .1686322{col 50}{space 1}    0.51{col 59}{space 3}0.607{col 67}{space 4}-.2437707{col 80}{space 3} .4172553
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2} -.051994{col 39}{space 2} .1298181{col 50}{space 1}   -0.40{col 59}{space 3}0.689{col 67}{space 4}-.3064328{col 80}{space 3} .2024449
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2} .0166255{col 39}{space 2} .1345646{col 50}{space 1}    0.12{col 59}{space 3}0.902{col 67}{space 4}-.2471163{col 80}{space 3} .2803673
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .2016291{col 39}{space 2} .1238363{col 50}{space 1}    1.63{col 59}{space 3}0.103{col 67}{space 4}-.0410856{col 80}{space 3} .4443437
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .3833985{col 39}{space 2} .1383978{col 50}{space 1}    2.77{col 59}{space 3}0.006{col 67}{space 4} .1121438{col 80}{space 3} .6546531
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2763855{col 39}{space 2}  .150286{col 50}{space 1}    1.84{col 59}{space 3}0.066{col 67}{space 4}-.0181696{col 80}{space 3} .5709406
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.2938931{col 39}{space 2}  .140744{col 50}{space 1}   -2.09{col 59}{space 3}0.037{col 67}{space 4}-.5697463{col 80}{space 3}-.0180398
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0968537{col 39}{space 2} .1657563{col 50}{space 1}    0.58{col 59}{space 3}0.559{col 67}{space 4}-.2280226{col 80}{space 3}   .42173
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1480171{col 39}{space 2} .1616075{col 50}{space 1}    0.92{col 59}{space 3}0.360{col 67}{space 4}-.1687278{col 80}{space 3} .4647619
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1140989{col 39}{space 2} .1367748{col 50}{space 1}    0.83{col 59}{space 3}0.404{col 67}{space 4}-.1539748{col 80}{space 3} .3821727
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0779341{col 39}{space 2} .1328322{col 50}{space 1}    0.59{col 59}{space 3}0.557{col 67}{space 4}-.1824123{col 80}{space 3} .3382804
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.273874{col 39}{space 2} .1154166{col 50}{space 1}   -2.37{col 59}{space 3}0.018{col 67}{space 4}-.5000864{col 80}{space 3}-.0476616
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8505044{col 39}{space 2} .0833365{col 50}{space 1}   10.21{col 59}{space 3}0.000{col 67}{space 4} .6871679{col 80}{space 3} 1.013841
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3705.6418}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.7044}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3704.7036}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3704.7036}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    176.79
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3704.7036{txt}{col 49}Pseudo R2{col 67}= {res}    0.0247

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9498831{col 39}{space 2} .1230144{col 50}{space 1}   -7.72{col 59}{space 3}0.000{col 67}{space 4}-1.190987{col 80}{space 3}-.7087794
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.1309047{col 39}{space 2} .1209163{col 50}{space 1}   -1.08{col 59}{space 3}0.279{col 67}{space 4}-.3678964{col 80}{space 3} .1060869
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2}   1.0179{col 39}{space 2} .5314164{col 50}{space 1}    1.92{col 59}{space 3}0.055{col 67}{space 4}-.0236573{col 80}{space 3} 2.059457
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1038512{col 39}{space 2} 1.026018{col 50}{space 1}    0.10{col 59}{space 3}0.919{col 67}{space 4}-1.907107{col 80}{space 3} 2.114809
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .4207413{col 39}{space 2} 1.174982{col 50}{space 1}    0.36{col 59}{space 3}0.720{col 67}{space 4}-1.882182{col 80}{space 3} 2.723664
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-.5577018{col 39}{space 2} .5465132{col 50}{space 1}   -1.02{col 59}{space 3}0.308{col 67}{space 4}-1.628848{col 80}{space 3} .5134444
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5089117{col 39}{space 2} .5915028{col 50}{space 1}   -0.86{col 59}{space 3}0.390{col 67}{space 4}-1.668236{col 80}{space 3} .6504125
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} .1020856{col 39}{space 2} .3902195{col 50}{space 1}    0.26{col 59}{space 3}0.794{col 67}{space 4}-.6627306{col 80}{space 3} .8669017
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} .0203552{col 39}{space 2} .5190373{col 50}{space 1}    0.04{col 59}{space 3}0.969{col 67}{space 4}-.9969393{col 80}{space 3}  1.03765
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8453839{col 39}{space 2} .5069549{col 50}{space 1}   -1.67{col 59}{space 3}0.095{col 67}{space 4}-1.838997{col 80}{space 3} .1482294
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.0945673{col 39}{space 2} .4015005{col 50}{space 1}   -0.24{col 59}{space 3}0.814{col 67}{space 4}-.8814938{col 80}{space 3} .6923592
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .8374878{col 39}{space 2} .5418678{col 50}{space 1}    1.55{col 59}{space 3}0.122{col 67}{space 4}-.2245536{col 80}{space 3} 1.899529
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}  .227406{col 39}{space 2} .3611338{col 50}{space 1}    0.63{col 59}{space 3}0.529{col 67}{space 4}-.4804031{col 80}{space 3} .9352152
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9423511{col 39}{space 2}  .243181{col 50}{space 1}   -3.88{col 59}{space 3}0.000{col 67}{space 4}-1.418977{col 80}{space 3}-.4657252
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.388459{col 39}{space 2} .2411782{col 50}{space 1}   -5.76{col 59}{space 3}0.000{col 67}{space 4}-1.861159{col 80}{space 3}-.9157583
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4307983{col 39}{space 2} .2036969{col 50}{space 1}   -2.11{col 59}{space 3}0.034{col 67}{space 4}-.8300369{col 80}{space 3}-.0315597
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2} .0776039{col 39}{space 2} .1689041{col 50}{space 1}    0.46{col 59}{space 3}0.646{col 67}{space 4}-.2534421{col 80}{space 3}   .40865
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.0551911{col 39}{space 2} .1298468{col 50}{space 1}   -0.43{col 59}{space 3}0.671{col 67}{space 4}-.3096861{col 80}{space 3} .1993038
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.0009374{col 39}{space 2} .1354975{col 50}{space 1}   -0.01{col 59}{space 3}0.994{col 67}{space 4}-.2665076{col 80}{space 3} .2646328
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .1874122{col 39}{space 2} .1245405{col 50}{space 1}    1.50{col 59}{space 3}0.132{col 67}{space 4}-.0566827{col 80}{space 3}  .431507
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}  .382614{col 39}{space 2} .1384634{col 50}{space 1}    2.76{col 59}{space 3}0.006{col 67}{space 4} .1112307{col 80}{space 3} .6539973
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2725927{col 39}{space 2} .1504246{col 50}{space 1}    1.81{col 59}{space 3}0.070{col 67}{space 4}-.0222341{col 80}{space 3} .5674195
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.2970591{col 39}{space 2} .1407398{col 50}{space 1}   -2.11{col 59}{space 3}0.035{col 67}{space 4} -.572904{col 80}{space 3}-.0212142
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0952373{col 39}{space 2} .1659077{col 50}{space 1}    0.57{col 59}{space 3}0.566{col 67}{space 4}-.2299359{col 80}{space 3} .4204104
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1484032{col 39}{space 2} .1615891{col 50}{space 1}    0.92{col 59}{space 3}0.358{col 67}{space 4}-.1683056{col 80}{space 3} .4651121
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1168531{col 39}{space 2} .1368293{col 50}{space 1}    0.85{col 59}{space 3}0.393{col 67}{space 4}-.1513274{col 80}{space 3} .3850336
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0817904{col 39}{space 2} .1328993{col 50}{space 1}    0.62{col 59}{space 3}0.538{col 67}{space 4}-.1786875{col 80}{space 3} .3422683
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.271275{col 39}{space 2} .1153947{col 50}{space 1}   -2.35{col 59}{space 3}0.019{col 67}{space 4}-.4974445{col 80}{space 3}-.0451056
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .9762886{col 39}{space 2} .1432584{col 50}{space 1}    6.81{col 59}{space 3}0.000{col 67}{space 4} .6955074{col 80}{space 3}  1.25707
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3703.0977}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3702.1125}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3702.1115}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3702.1115}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    179.23
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3702.1115{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9489701{col 39}{space 2}  .123421{col 50}{space 1}   -7.69{col 59}{space 3}0.000{col 67}{space 4}-1.190871{col 80}{space 3}-.7070693
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2} .0657453{col 39}{space 2} .1479447{col 50}{space 1}    0.44{col 59}{space 3}0.657{col 67}{space 4}-.2242209{col 80}{space 3} .3557116
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.2763635{col 39}{space 2} .1348399{col 50}{space 1}   -2.05{col 59}{space 3}0.040{col 67}{space 4}-.5406449{col 80}{space 3}-.0120821
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.0348606{col 39}{space 2} .0620501{col 50}{space 1}   -0.56{col 59}{space 3}0.574{col 67}{space 4}-.1564766{col 80}{space 3} .0867553
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .9619107{col 39}{space 2} .5511426{col 50}{space 1}    1.75{col 59}{space 3}0.081{col 67}{space 4} -.118309{col 80}{space 3}  2.04213
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .0216262{col 39}{space 2} 1.036326{col 50}{space 1}    0.02{col 59}{space 3}0.983{col 67}{space 4}-2.009535{col 80}{space 3} 2.052787
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .4742946{col 39}{space 2} 1.185103{col 50}{space 1}    0.40{col 59}{space 3}0.689{col 67}{space 4}-1.848465{col 80}{space 3} 2.797054
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -.643348{col 39}{space 2} .5378681{col 50}{space 1}   -1.20{col 59}{space 3}0.232{col 67}{space 4} -1.69755{col 80}{space 3}  .410854
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.6210774{col 39}{space 2} .5757307{col 50}{space 1}   -1.08{col 59}{space 3}0.281{col 67}{space 4}-1.749489{col 80}{space 3}  .507334
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} -.074889{col 39}{space 2} .3954343{col 50}{space 1}   -0.19{col 59}{space 3}0.850{col 67}{space 4} -.849926{col 80}{space 3}  .700148
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} -.108922{col 39}{space 2} .5269675{col 50}{space 1}   -0.21{col 59}{space 3}0.836{col 67}{space 4}-1.141759{col 80}{space 3} .9239153
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9937385{col 39}{space 2} .4933432{col 50}{space 1}   -2.01{col 59}{space 3}0.044{col 67}{space 4}-1.960673{col 80}{space 3}-.0268036
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.2604115{col 39}{space 2} .4075751{col 50}{space 1}   -0.64{col 59}{space 3}0.523{col 67}{space 4}-1.059244{col 80}{space 3} .5384209
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .7536482{col 39}{space 2} .5577248{col 50}{space 1}    1.35{col 59}{space 3}0.177{col 67}{space 4}-.3394724{col 80}{space 3} 1.846769
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .0747796{col 39}{space 2} .3682592{col 50}{space 1}    0.20{col 59}{space 3}0.839{col 67}{space 4}-.6469952{col 80}{space 3} .7965543
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9858382{col 39}{space 2} .2446989{col 50}{space 1}   -4.03{col 59}{space 3}0.000{col 67}{space 4}-1.465439{col 80}{space 3}-.5062373
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.414158{col 39}{space 2} .2437723{col 50}{space 1}   -5.80{col 59}{space 3}0.000{col 67}{space 4}-1.891943{col 80}{space 3} -.936373
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4794501{col 39}{space 2} .2043967{col 50}{space 1}   -2.35{col 59}{space 3}0.019{col 67}{space 4}-.8800604{col 80}{space 3}-.0788399
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}  .041778{col 39}{space 2} .1697438{col 50}{space 1}    0.25{col 59}{space 3}0.806{col 67}{space 4}-.2909137{col 80}{space 3} .3744698
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.0940948{col 39}{space 2} .1315007{col 50}{space 1}   -0.72{col 59}{space 3}0.474{col 67}{space 4}-.3518314{col 80}{space 3} .1636417
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2} -.031793{col 39}{space 2} .1360407{col 50}{space 1}   -0.23{col 59}{space 3}0.815{col 67}{space 4}-.2984279{col 80}{space 3}  .234842
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .1627855{col 39}{space 2} .1251336{col 50}{space 1}    1.30{col 59}{space 3}0.193{col 67}{space 4}-.0824719{col 80}{space 3} .4080428
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .3613873{col 39}{space 2} .1390498{col 50}{space 1}    2.60{col 59}{space 3}0.009{col 67}{space 4} .0888546{col 80}{space 3}   .63392
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2480748{col 39}{space 2} .1526361{col 50}{space 1}    1.63{col 59}{space 3}0.104{col 67}{space 4}-.0510864{col 80}{space 3}  .547236
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.3178946{col 39}{space 2} .1426745{col 50}{space 1}   -2.23{col 59}{space 3}0.026{col 67}{space 4}-.5975315{col 80}{space 3}-.0382578
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0749788{col 39}{space 2} .1678297{col 50}{space 1}    0.45{col 59}{space 3}0.655{col 67}{space 4}-.2539613{col 80}{space 3} .4039189
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1346967{col 39}{space 2} .1630013{col 50}{space 1}    0.83{col 59}{space 3}0.409{col 67}{space 4}-.1847801{col 80}{space 3} .4541734
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1029342{col 39}{space 2} .1375874{col 50}{space 1}    0.75{col 59}{space 3}0.454{col 67}{space 4}-.1667321{col 80}{space 3} .3726006
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0694009{col 39}{space 2} .1340188{col 50}{space 1}    0.52{col 59}{space 3}0.605{col 67}{space 4} -.193271{col 80}{space 3} .3320729
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2777998{col 39}{space 2} .1155553{col 50}{space 1}   -2.40{col 59}{space 3}0.016{col 67}{space 4}-.5042841{col 80}{space 3}-.0513155
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.083502{col 39}{space 2}  .153547{col 50}{space 1}    7.06{col 59}{space 3}0.000{col 67}{space 4} .7825553{col 80}{space 3} 1.384448
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3665.4563}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3664.1175}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3664.1166}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3664.1166}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}    245.55
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3664.1166{txt}{col 49}Pseudo R2{col 67}= {res}    0.0354

{txt}{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9104697{col 39}{space 2} .1266138{col 50}{space 1}   -7.19{col 59}{space 3}0.000{col 67}{space 4}-1.158628{col 80}{space 3}-.6623111
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2} .0588172{col 39}{space 2} .1467158{col 50}{space 1}    0.40{col 59}{space 3}0.688{col 67}{space 4}-.2287404{col 80}{space 3} .3463748
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2} -.203004{col 39}{space 2} .1385196{col 50}{space 1}   -1.47{col 59}{space 3}0.143{col 67}{space 4}-.4744974{col 80}{space 3} .0684894
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.1942066{col 39}{space 2} .0925052{col 50}{space 1}   -2.10{col 59}{space 3}0.036{col 67}{space 4}-.3755134{col 80}{space 3}-.0128999
{txt}{space 13}f_occupation {c |}{col 27}{res}{space 2} .6659418{col 39}{space 2}  .086208{col 50}{space 1}    7.72{col 59}{space 3}0.000{col 67}{space 4} .4969772{col 80}{space 3} .8349063
{txt}{space 16}iraqsyria {c |}{col 27}{res}{space 2}  .184073{col 39}{space 2} .0943019{col 50}{space 1}    1.95{col 59}{space 3}0.051{col 67}{space 4}-.0007554{col 80}{space 3} .3689013
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .9813484{col 39}{space 2} .5433553{col 50}{space 1}    1.81{col 59}{space 3}0.071{col 67}{space 4}-.0836083{col 80}{space 3} 2.046305
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .0379129{col 39}{space 2} 1.036233{col 50}{space 1}    0.04{col 59}{space 3}0.971{col 67}{space 4}-1.993066{col 80}{space 3} 2.068892
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}  .441683{col 39}{space 2} 1.180376{col 50}{space 1}    0.37{col 59}{space 3}0.708{col 67}{space 4}-1.871811{col 80}{space 3} 2.755177
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -.655273{col 39}{space 2} .5445787{col 50}{space 1}   -1.20{col 59}{space 3}0.229{col 67}{space 4}-1.722628{col 80}{space 3} .4120817
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5842353{col 39}{space 2} .5812762{col 50}{space 1}   -1.01{col 59}{space 3}0.315{col 67}{space 4}-1.723516{col 80}{space 3}  .555045
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}  -.02545{col 39}{space 2} .3990878{col 50}{space 1}   -0.06{col 59}{space 3}0.949{col 67}{space 4}-.8076477{col 80}{space 3} .7567476
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-.1236817{col 39}{space 2} .5247198{col 50}{space 1}   -0.24{col 59}{space 3}0.814{col 67}{space 4}-1.152114{col 80}{space 3} .9047501
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-1.016666{col 39}{space 2} .4903614{col 50}{space 1}   -2.07{col 59}{space 3}0.038{col 67}{space 4}-1.977756{col 80}{space 3} -.055575
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.2425938{col 39}{space 2} .4081507{col 50}{space 1}   -0.59{col 59}{space 3}0.552{col 67}{space 4}-1.042554{col 80}{space 3} .5573668
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .7428959{col 39}{space 2} .5556011{col 50}{space 1}    1.34{col 59}{space 3}0.181{col 67}{space 4}-.3460623{col 80}{space 3} 1.831854
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .1038205{col 39}{space 2} .3670605{col 50}{space 1}    0.28{col 59}{space 3}0.777{col 67}{space 4}-.6156049{col 80}{space 3} .8232459
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9991569{col 39}{space 2} .2446448{col 50}{space 1}   -4.08{col 59}{space 3}0.000{col 67}{space 4}-1.478652{col 80}{space 3}-.5196619
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.432293{col 39}{space 2} .2420535{col 50}{space 1}   -5.92{col 59}{space 3}0.000{col 67}{space 4} -1.90671{col 80}{space 3}-.9578772
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7575993{col 39}{space 2} .2013491{col 50}{space 1}   -3.76{col 59}{space 3}0.000{col 67}{space 4}-1.152236{col 80}{space 3}-.3629624
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.4374241{col 39}{space 2} .1793813{col 50}{space 1}   -2.44{col 59}{space 3}0.015{col 67}{space 4}-.7890051{col 80}{space 3}-.0858432
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.7316547{col 39}{space 2} .1490219{col 50}{space 1}   -4.91{col 59}{space 3}0.000{col 67}{space 4}-1.023732{col 80}{space 3}-.4395772
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.6361622{col 39}{space 2} .1553216{col 50}{space 1}   -4.10{col 59}{space 3}0.000{col 67}{space 4}-.9405871{col 80}{space 3}-.3317374
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.4040617{col 39}{space 2} .1418921{col 50}{space 1}   -2.85{col 59}{space 3}0.004{col 67}{space 4}-.6821651{col 80}{space 3}-.1259583
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} -.132491{col 39}{space 2} .1511306{col 50}{space 1}   -0.88{col 59}{space 3}0.381{col 67}{space 4}-.4287015{col 80}{space 3} .1637195
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.1430854{col 39}{space 2} .1617711{col 50}{space 1}   -0.88{col 59}{space 3}0.376{col 67}{space 4} -.460151{col 80}{space 3} .1739801
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5453462{col 39}{space 2}  .145056{col 50}{space 1}   -3.76{col 59}{space 3}0.000{col 67}{space 4}-.8296508{col 80}{space 3}-.2610416
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.2188508{col 39}{space 2} .1727536{col 50}{space 1}   -1.27{col 59}{space 3}0.205{col 67}{space 4}-.5574417{col 80}{space 3} .1197401
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2}-.0282482{col 39}{space 2} .1648561{col 50}{space 1}   -0.17{col 59}{space 3}0.864{col 67}{space 4}-.3513602{col 80}{space 3} .2948639
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}-.0458952{col 39}{space 2} .1387239{col 50}{space 1}   -0.33{col 59}{space 3}0.741{col 67}{space 4}-.3177892{col 80}{space 3} .2259987
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0530808{col 39}{space 2} .1341304{col 50}{space 1}    0.40{col 59}{space 3}0.692{col 67}{space 4}-.2098099{col 80}{space 3} .3159715
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.282803{col 39}{space 2} .1152254{col 50}{space 1}   -2.45{col 59}{space 3}0.014{col 67}{space 4}-.5086405{col 80}{space 3}-.0569654
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.031121{col 39}{space 2} .1616308{col 50}{space 1}    6.38{col 59}{space 3}0.000{col 67}{space 4} .7143303{col 80}{space 3} 1.347912
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3706.2731}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3705.3367}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3705.3359}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3705.3359}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(26)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3705.3359{txt}{col 49}Pseudo R2{col 67}= {res}    0.0245

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2} -.946724{col 39}{space 2} .2699515{col 50}{space 1}   -3.51{col 59}{space 3}0.000{col 67}{space 4}-1.475819{col 80}{space 3}-.4176287
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} 1.092894{col 39}{space 2} .3140148{col 50}{space 1}    3.48{col 59}{space 3}0.001{col 67}{space 4}  .477436{col 80}{space 3} 1.708352
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1879187{col 39}{space 2} .1957778{col 50}{space 1}    0.96{col 59}{space 3}0.337{col 67}{space 4}-.1957987{col 80}{space 3} .5716361
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .5102655{col 39}{space 2} .5187832{col 50}{space 1}    0.98{col 59}{space 3}0.325{col 67}{space 4} -.506531{col 80}{space 3} 1.527062
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-.5628224{col 39}{space 2} .6778223{col 50}{space 1}   -0.83{col 59}{space 3}0.406{col 67}{space 4} -1.89133{col 80}{space 3}  .765685
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5140322{col 39}{space 2} .8128246{col 50}{space 1}   -0.63{col 59}{space 3}0.527{col 67}{space 4}-2.107139{col 80}{space 3} 1.079075
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} .0968537{col 39}{space 2}  .503751{col 50}{space 1}    0.19{col 59}{space 3}0.848{col 67}{space 4}-.8904801{col 80}{space 3} 1.084188
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} .0407329{col 39}{space 2} .8522777{col 50}{space 1}    0.05{col 59}{space 3}0.962{col 67}{space 4}-1.629701{col 80}{space 3} 1.711166
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8505044{col 39}{space 2} .9876132{col 50}{space 1}   -0.86{col 59}{space 3}0.389{col 67}{space 4}-2.786191{col 80}{space 3} 1.085182
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.0751547{col 39}{space 2} .5682609{col 50}{space 1}   -0.13{col 59}{space 3}0.895{col 67}{space 4}-1.188926{col 80}{space 3} 1.038616
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .8938964{col 39}{space 2} .6930153{col 50}{space 1}    1.29{col 59}{space 3}0.197{col 67}{space 4}-.4643885{col 80}{space 3} 2.252181
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .2303318{col 39}{space 2} .3885555{col 50}{space 1}    0.59{col 59}{space 3}0.553{col 67}{space 4} -.531223{col 80}{space 3} .9918866
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9355404{col 39}{space 2} .5669007{col 50}{space 1}   -1.65{col 59}{space 3}0.099{col 67}{space 4}-2.046645{col 80}{space 3} .1755644
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.392154{col 39}{space 2} .3134248{col 50}{space 1}   -4.44{col 59}{space 3}0.000{col 67}{space 4}-2.006455{col 80}{space 3}-.7778527
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4320413{col 39}{space 2} .6340718{col 50}{space 1}   -0.68{col 59}{space 3}0.496{col 67}{space 4}-1.674799{col 80}{space 3} .8107166
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2} .0867423{col 39}{space 2} .3483088{col 50}{space 1}    0.25{col 59}{space 3}0.803{col 67}{space 4}-.5959304{col 80}{space 3}  .769415
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2} -.051994{col 39}{space 2}  .271229{col 50}{space 1}   -0.19{col 59}{space 3}0.848{col 67}{space 4} -.583593{col 80}{space 3} .4796051
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2} .0166255{col 39}{space 2} .3629077{col 50}{space 1}    0.05{col 59}{space 3}0.963{col 67}{space 4}-.6946606{col 80}{space 3} .7279115
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .2016291{col 39}{space 2} .4065941{col 50}{space 1}    0.50{col 59}{space 3}0.620{col 67}{space 4}-.5952807{col 80}{space 3} .9985389
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .3833985{col 39}{space 2} .2335581{col 50}{space 1}    1.64{col 59}{space 3}0.101{col 67}{space 4}-.0743669{col 80}{space 3} .8411639
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2763855{col 39}{space 2} .3719968{col 50}{space 1}    0.74{col 59}{space 3}0.457{col 67}{space 4}-.4527148{col 80}{space 3} 1.005486
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.2938931{col 39}{space 2} .3117485{col 50}{space 1}   -0.94{col 59}{space 3}0.346{col 67}{space 4}-.9049088{col 80}{space 3} .3171227
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0968537{col 39}{space 2} .2370092{col 50}{space 1}    0.41{col 59}{space 3}0.683{col 67}{space 4}-.3676758{col 80}{space 3} .5613832
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1480171{col 39}{space 2} .2612479{col 50}{space 1}    0.57{col 59}{space 3}0.571{col 67}{space 4}-.3640194{col 80}{space 3} .6600535
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1140989{col 39}{space 2} .2669452{col 50}{space 1}    0.43{col 59}{space 3}0.669{col 67}{space 4}-.4091039{col 80}{space 3} .6373018
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0779341{col 39}{space 2} .2368512{col 50}{space 1}    0.33{col 59}{space 3}0.742{col 67}{space 4}-.3862857{col 80}{space 3} .5421538
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.273874{col 39}{space 2}  .444877{col 50}{space 1}   -0.62{col 59}{space 3}0.538{col 67}{space 4}-1.145817{col 80}{space 3} .5980688
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .8505044{col 39}{space 2} .1313102{col 50}{space 1}    6.48{col 59}{space 3}0.000{col 67}{space 4} .5931411{col 80}{space 3} 1.107868
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3705.6418}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3704.7044}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3704.7036}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3704.7036}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(27)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3704.7036{txt}{col 49}Pseudo R2{col 67}= {res}    0.0247

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9498831{col 39}{space 2} .2704362{col 50}{space 1}   -3.51{col 59}{space 3}0.000{col 67}{space 4}-1.479928{col 80}{space 3}-.4198379
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2}-.1309047{col 39}{space 2}  .289911{col 50}{space 1}   -0.45{col 59}{space 3}0.652{col 67}{space 4}-.6991198{col 80}{space 3} .4373103
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2}   1.0179{col 39}{space 2}  .343456{col 50}{space 1}    2.96{col 59}{space 3}0.003{col 67}{space 4} .3447382{col 80}{space 3} 1.691061
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .1038512{col 39}{space 2} .2669333{col 50}{space 1}    0.39{col 59}{space 3}0.697{col 67}{space 4}-.4193284{col 80}{space 3} .6270308
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .4207413{col 39}{space 2} .6024139{col 50}{space 1}    0.70{col 59}{space 3}0.485{col 67}{space 4}-.7599683{col 80}{space 3} 1.601451
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2}-.5577018{col 39}{space 2} .6740156{col 50}{space 1}   -0.83{col 59}{space 3}0.408{col 67}{space 4}-1.878748{col 80}{space 3} .7633445
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5089117{col 39}{space 2} .8104379{col 50}{space 1}   -0.63{col 59}{space 3}0.530{col 67}{space 4}-2.097341{col 80}{space 3} 1.079517
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} .1020856{col 39}{space 2} .5016827{col 50}{space 1}    0.20{col 59}{space 3}0.839{col 67}{space 4}-.8811945{col 80}{space 3} 1.085366
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} .0203552{col 39}{space 2} .8487932{col 50}{space 1}    0.02{col 59}{space 3}0.981{col 67}{space 4}-1.643249{col 80}{space 3} 1.683959
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.8453839{col 39}{space 2} .9853475{col 50}{space 1}   -0.86{col 59}{space 3}0.391{col 67}{space 4} -2.77663{col 80}{space 3} 1.085862
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.0945673{col 39}{space 2} .5829685{col 50}{space 1}   -0.16{col 59}{space 3}0.871{col 67}{space 4}-1.237165{col 80}{space 3}  1.04803
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .8374878{col 39}{space 2} .6928833{col 50}{space 1}    1.21{col 59}{space 3}0.227{col 67}{space 4}-.5205385{col 80}{space 3} 2.195514
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2}  .227406{col 39}{space 2}  .392539{col 50}{space 1}    0.58{col 59}{space 3}0.562{col 67}{space 4}-.5419563{col 80}{space 3} .9967684
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9423511{col 39}{space 2} .5658527{col 50}{space 1}   -1.67{col 59}{space 3}0.096{col 67}{space 4}-2.051402{col 80}{space 3} .1666998
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.388459{col 39}{space 2}   .31149{col 50}{space 1}   -4.46{col 59}{space 3}0.000{col 67}{space 4}-1.998968{col 80}{space 3}-.7779497
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4307983{col 39}{space 2} .6331004{col 50}{space 1}   -0.68{col 59}{space 3}0.496{col 67}{space 4}-1.671652{col 80}{space 3} .8100557
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2} .0776039{col 39}{space 2} .3327511{col 50}{space 1}    0.23{col 59}{space 3}0.816{col 67}{space 4}-.5745763{col 80}{space 3} .7297842
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.0551911{col 39}{space 2}  .264686{col 50}{space 1}   -0.21{col 59}{space 3}0.835{col 67}{space 4}-.5739661{col 80}{space 3} .4635838
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.0009374{col 39}{space 2} .3976636{col 50}{space 1}   -0.00{col 59}{space 3}0.998{col 67}{space 4}-.7803438{col 80}{space 3}  .778469
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .1874122{col 39}{space 2} .4381429{col 50}{space 1}    0.43{col 59}{space 3}0.669{col 67}{space 4}-.6713321{col 80}{space 3} 1.046156
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2}  .382614{col 39}{space 2} .2352319{col 50}{space 1}    1.63{col 59}{space 3}0.104{col 67}{space 4} -.078432{col 80}{space 3}   .84366
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2725927{col 39}{space 2} .3768285{col 50}{space 1}    0.72{col 59}{space 3}0.469{col 67}{space 4}-.4659776{col 80}{space 3} 1.011163
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.2970591{col 39}{space 2} .3169081{col 50}{space 1}   -0.94{col 59}{space 3}0.349{col 67}{space 4}-.9181877{col 80}{space 3} .3240694
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0952373{col 39}{space 2} .2395115{col 50}{space 1}    0.40{col 59}{space 3}0.691{col 67}{space 4}-.3741967{col 80}{space 3} .5646712
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1484032{col 39}{space 2} .2605483{col 50}{space 1}    0.57{col 59}{space 3}0.569{col 67}{space 4}-.3622621{col 80}{space 3} .6590686
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1168531{col 39}{space 2}  .265266{col 50}{space 1}    0.44{col 59}{space 3}0.660{col 67}{space 4}-.4030586{col 80}{space 3} .6367649
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0817904{col 39}{space 2} .2335784{col 50}{space 1}    0.35{col 59}{space 3}0.726{col 67}{space 4}-.3760148{col 80}{space 3} .5395957
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.271275{col 39}{space 2} .4462442{col 50}{space 1}   -0.61{col 59}{space 3}0.543{col 67}{space 4}-1.145898{col 80}{space 3} .6033476
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} .9762886{col 39}{space 2} .3272337{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4} .3349223{col 80}{space 3} 1.617655
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3703.0977}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3702.1125}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3702.1115}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3702.1115}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(29)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3702.1115{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9489701{col 39}{space 2} .2736553{col 50}{space 1}   -3.47{col 59}{space 3}0.001{col 67}{space 4}-1.485325{col 80}{space 3}-.4126155
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2} .0657453{col 39}{space 2} .2332553{col 50}{space 1}    0.28{col 59}{space 3}0.778{col 67}{space 4}-.3914266{col 80}{space 3} .5229173
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2}-.2763635{col 39}{space 2} .3359345{col 50}{space 1}   -0.82{col 59}{space 3}0.411{col 67}{space 4} -.934783{col 80}{space 3}  .382056
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.0348606{col 39}{space 2} .3115166{col 50}{space 1}   -0.11{col 59}{space 3}0.911{col 67}{space 4} -.645422{col 80}{space 3} .5757007
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .9619107{col 39}{space 2} .3585029{col 50}{space 1}    2.68{col 59}{space 3}0.007{col 67}{space 4} .2592579{col 80}{space 3} 1.664563
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .0216262{col 39}{space 2} .2960012{col 50}{space 1}    0.07{col 59}{space 3}0.942{col 67}{space 4}-.5585256{col 80}{space 3}  .601778
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2} .4742946{col 39}{space 2}  .541463{col 50}{space 1}    0.88{col 59}{space 3}0.381{col 67}{space 4}-.5869534{col 80}{space 3} 1.535543
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -.643348{col 39}{space 2} .6603982{col 50}{space 1}   -0.97{col 59}{space 3}0.330{col 67}{space 4}-1.937705{col 80}{space 3} .6510087
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.6210774{col 39}{space 2} .7522702{col 50}{space 1}   -0.83{col 59}{space 3}0.409{col 67}{space 4}  -2.0955{col 80}{space 3} .8533451
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2} -.074889{col 39}{space 2} .4831678{col 50}{space 1}   -0.15{col 59}{space 3}0.877{col 67}{space 4} -1.02188{col 80}{space 3} .8721024
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2} -.108922{col 39}{space 2} .8643593{col 50}{space 1}   -0.13{col 59}{space 3}0.900{col 67}{space 4}-1.803035{col 80}{space 3} 1.585191
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-.9937385{col 39}{space 2}  .924207{col 50}{space 1}   -1.08{col 59}{space 3}0.282{col 67}{space 4}-2.805151{col 80}{space 3} .8176739
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.2604115{col 39}{space 2} .5459307{col 50}{space 1}   -0.48{col 59}{space 3}0.633{col 67}{space 4}-1.330416{col 80}{space 3} .8095929
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .7536482{col 39}{space 2} .8409914{col 50}{space 1}    0.90{col 59}{space 3}0.370{col 67}{space 4}-.8946647{col 80}{space 3} 2.401961
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .0747796{col 39}{space 2} .4825452{col 50}{space 1}    0.15{col 59}{space 3}0.877{col 67}{space 4}-.8709917{col 80}{space 3} 1.020551
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9858382{col 39}{space 2} .5393961{col 50}{space 1}   -1.83{col 59}{space 3}0.068{col 67}{space 4}-2.043035{col 80}{space 3} .0713586
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.414158{col 39}{space 2}  .317858{col 50}{space 1}   -4.45{col 59}{space 3}0.000{col 67}{space 4}-2.037148{col 80}{space 3}-.7911678
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.4794501{col 39}{space 2} .5978007{col 50}{space 1}   -0.80{col 59}{space 3}0.423{col 67}{space 4}-1.651118{col 80}{space 3} .6922178
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}  .041778{col 39}{space 2} .3156185{col 50}{space 1}    0.13{col 59}{space 3}0.895{col 67}{space 4}-.5768228{col 80}{space 3} .6603789
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.0940948{col 39}{space 2} .2485609{col 50}{space 1}   -0.38{col 59}{space 3}0.705{col 67}{space 4}-.5812652{col 80}{space 3} .3930755
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2} -.031793{col 39}{space 2} .3997497{col 50}{space 1}   -0.08{col 59}{space 3}0.937{col 67}{space 4}-.8152879{col 80}{space 3} .7517019
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2} .1627855{col 39}{space 2}  .440862{col 50}{space 1}    0.37{col 59}{space 3}0.712{col 67}{space 4}-.7012882{col 80}{space 3} 1.026859
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} .3613873{col 39}{space 2} .2235194{col 50}{space 1}    1.62{col 59}{space 3}0.106{col 67}{space 4}-.0767026{col 80}{space 3} .7994772
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2} .2480748{col 39}{space 2} .3266258{col 50}{space 1}    0.76{col 59}{space 3}0.448{col 67}{space 4}   -.3921{col 80}{space 3} .8882496
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.3178946{col 39}{space 2} .2678377{col 50}{space 1}   -1.19{col 59}{space 3}0.235{col 67}{space 4}-.8428468{col 80}{space 3} .2070575
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2} .0749788{col 39}{space 2} .2358274{col 50}{space 1}    0.32{col 59}{space 3}0.751{col 67}{space 4}-.3872343{col 80}{space 3} .5371919
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2} .1346967{col 39}{space 2} .2547337{col 50}{space 1}    0.53{col 59}{space 3}0.597{col 67}{space 4}-.3645723{col 80}{space 3} .6339656
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2} .1029342{col 39}{space 2} .2422768{col 50}{space 1}    0.42{col 59}{space 3}0.671{col 67}{space 4}-.3719195{col 80}{space 3}  .577788
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0694009{col 39}{space 2} .1834616{col 50}{space 1}    0.38{col 59}{space 3}0.705{col 67}{space 4}-.2901772{col 80}{space 3} .4289791
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2}-.2777998{col 39}{space 2}   .42058{col 50}{space 1}   -0.66{col 59}{space 3}0.509{col 67}{space 4}-1.102121{col 80}{space 3} .5465219
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.083502{col 39}{space 2} .3639194{col 50}{space 1}    2.98{col 59}{space 3}0.003{col 67}{space 4}  .370233{col 80}{space 3} 1.796771
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_included       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3798.5178}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3665.4563}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3664.1175}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3664.1166}  
Iteration 4:{space 3}log pseudolikelihood = {res:-3664.1166}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(31)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3664.1166{txt}{col 49}Pseudo R2{col 67}= {res}    0.0354

{txt}{ralign 91:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 26}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 27}{c |}{col 39}    Robust
{col 1}hardtarget_rebel_included{col 27}{c |}      Coef.{col 39}   Std. Err.{col 51}      z{col 59}   P>|z|{col 67}     [95% Con{col 80}f. Interval]
{hline 26}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 19}female {c |}{col 27}{res}{space 2}-.9104697{col 39}{space 2} .2827295{col 50}{space 1}   -3.22{col 59}{space 3}0.001{col 67}{space 4}-1.464609{col 80}{space 3}-.3563301
{txt}{space 7}religious_conflict {c |}{col 27}{res}{space 2} .0588172{col 39}{space 2} .2425933{col 50}{space 1}    0.24{col 59}{space 3}0.808{col 67}{space 4}-.4166569{col 80}{space 3} .5342913
{txt}{space 6}Muslim_organization {c |}{col 27}{res}{space 2} -.203004{col 39}{space 2} .3486573{col 50}{space 1}   -0.58{col 59}{space 3}0.560{col 67}{space 4}-.8863598{col 80}{space 3} .4803518
{txt}{space 5}foreign_organization {c |}{col 27}{res}{space 2}-.1942066{col 39}{space 2} .2939954{col 50}{space 1}   -0.66{col 59}{space 3}0.509{col 67}{space 4} -.770427{col 80}{space 3} .3820137
{txt}{space 13}f_occupation {c |}{col 27}{res}{space 2} .6659418{col 39}{space 2} .2091263{col 50}{space 1}    3.18{col 59}{space 3}0.001{col 67}{space 4} .2560618{col 80}{space 3} 1.075822
{txt}{space 16}iraqsyria {c |}{col 27}{res}{space 2}  .184073{col 39}{space 2} .2290203{col 50}{space 1}    0.80{col 59}{space 3}0.422{col 67}{space 4}-.2647985{col 80}{space 3} .6329445
{txt}{space 22}yr6 {c |}{col 27}{res}{space 2} .9813484{col 39}{space 2} .3555404{col 50}{space 1}    2.76{col 59}{space 3}0.006{col 67}{space 4}  .284502{col 80}{space 3} 1.678195
{txt}{space 22}yr7 {c |}{col 27}{res}{space 2} .0379129{col 39}{space 2} .2892414{col 50}{space 1}    0.13{col 59}{space 3}0.896{col 67}{space 4}-.5289898{col 80}{space 3} .6048155
{txt}{space 22}yr8 {c |}{col 27}{res}{space 2}  .441683{col 39}{space 2} .5648545{col 50}{space 1}    0.78{col 59}{space 3}0.434{col 67}{space 4}-.6654115{col 80}{space 3} 1.548777
{txt}{space 21}yr14 {c |}{col 27}{res}{space 2} -.655273{col 39}{space 2} .6622353{col 50}{space 1}   -0.99{col 59}{space 3}0.322{col 67}{space 4} -1.95323{col 80}{space 3} .6426844
{txt}{space 21}yr15 {c |}{col 27}{res}{space 2}-.5842353{col 39}{space 2} .7652975{col 50}{space 1}   -0.76{col 59}{space 3}0.445{col 67}{space 4}-2.084191{col 80}{space 3} .9157202
{txt}{space 21}yr16 {c |}{col 27}{res}{space 2}  -.02545{col 39}{space 2} .5015875{col 50}{space 1}   -0.05{col 59}{space 3}0.960{col 67}{space 4}-1.008543{col 80}{space 3} .9576434
{txt}{space 21}yr17 {c |}{col 27}{res}{space 2}-.1236817{col 39}{space 2} .8757429{col 50}{space 1}   -0.14{col 59}{space 3}0.888{col 67}{space 4}-1.840106{col 80}{space 3} 1.592743
{txt}{space 21}yr18 {c |}{col 27}{res}{space 2}-1.016666{col 39}{space 2} .9251445{col 50}{space 1}   -1.10{col 59}{space 3}0.272{col 67}{space 4}-2.829916{col 80}{space 3} .7965842
{txt}{space 21}yr19 {c |}{col 27}{res}{space 2}-.2425938{col 39}{space 2} .5437988{col 50}{space 1}   -0.45{col 59}{space 3}0.656{col 67}{space 4} -1.30842{col 80}{space 3} .8232323
{txt}{space 21}yr20 {c |}{col 27}{res}{space 2} .7428959{col 39}{space 2} .8300555{col 50}{space 1}    0.89{col 59}{space 3}0.371{col 67}{space 4} -.883983{col 80}{space 3} 2.369775
{txt}{space 21}yr21 {c |}{col 27}{res}{space 2} .1038205{col 39}{space 2} .4979546{col 50}{space 1}    0.21{col 59}{space 3}0.835{col 67}{space 4}-.8721526{col 80}{space 3} 1.079794
{txt}{space 21}yr22 {c |}{col 27}{res}{space 2}-.9991569{col 39}{space 2}  .558008{col 50}{space 1}   -1.79{col 59}{space 3}0.073{col 67}{space 4}-2.092833{col 80}{space 3} .0945187
{txt}{space 21}yr23 {c |}{col 27}{res}{space 2}-1.432293{col 39}{space 2}  .320987{col 50}{space 1}   -4.46{col 59}{space 3}0.000{col 67}{space 4}-2.061416{col 80}{space 3}-.8031704
{txt}{space 21}yr24 {c |}{col 27}{res}{space 2}-.7575993{col 39}{space 2} .5163361{col 50}{space 1}   -1.47{col 59}{space 3}0.142{col 67}{space 4}-1.769599{col 80}{space 3} .2544009
{txt}{space 21}yr25 {c |}{col 27}{res}{space 2}-.4374241{col 39}{space 2} .2510337{col 50}{space 1}   -1.74{col 59}{space 3}0.081{col 67}{space 4}-.9294411{col 80}{space 3} .0545929
{txt}{space 21}yr26 {c |}{col 27}{res}{space 2}-.7316547{col 39}{space 2} .2983557{col 50}{space 1}   -2.45{col 59}{space 3}0.014{col 67}{space 4}-1.316421{col 80}{space 3}-.1468883
{txt}{space 21}yr27 {c |}{col 27}{res}{space 2}-.6361622{col 39}{space 2} .3658597{col 50}{space 1}   -1.74{col 59}{space 3}0.082{col 67}{space 4}-1.353234{col 80}{space 3} .0809095
{txt}{space 21}yr28 {c |}{col 27}{res}{space 2}-.4040617{col 39}{space 2} .4649069{col 50}{space 1}   -0.87{col 59}{space 3}0.385{col 67}{space 4}-1.315262{col 80}{space 3}  .507139
{txt}{space 21}yr29 {c |}{col 27}{res}{space 2} -.132491{col 39}{space 2}  .240844{col 50}{space 1}   -0.55{col 59}{space 3}0.582{col 67}{space 4}-.6045366{col 80}{space 3} .3395546
{txt}{space 21}yr30 {c |}{col 27}{res}{space 2}-.1430854{col 39}{space 2} .3073147{col 50}{space 1}   -0.47{col 59}{space 3}0.642{col 67}{space 4}-.7454113{col 80}{space 3} .4592404
{txt}{space 21}yr31 {c |}{col 27}{res}{space 2}-.5453462{col 39}{space 2} .1934922{col 50}{space 1}   -2.82{col 59}{space 3}0.005{col 67}{space 4} -.924584{col 80}{space 3}-.1661084
{txt}{space 21}yr32 {c |}{col 27}{res}{space 2}-.2188508{col 39}{space 2} .3018134{col 50}{space 1}   -0.73{col 59}{space 3}0.468{col 67}{space 4}-.8103942{col 80}{space 3} .3726927
{txt}{space 21}yr33 {c |}{col 27}{res}{space 2}-.0282482{col 39}{space 2} .3010765{col 50}{space 1}   -0.09{col 59}{space 3}0.925{col 67}{space 4}-.6183473{col 80}{space 3}  .561851
{txt}{space 21}yr34 {c |}{col 27}{res}{space 2}-.0458952{col 39}{space 2}  .181872{col 50}{space 1}   -0.25{col 59}{space 3}0.801{col 67}{space 4}-.4023577{col 80}{space 3} .3105673
{txt}{space 21}yr35 {c |}{col 27}{res}{space 2} .0530808{col 39}{space 2} .1899329{col 50}{space 1}    0.28{col 59}{space 3}0.780{col 67}{space 4}-.3191808{col 80}{space 3} .4253424
{txt}{space 21}yr36 {c |}{col 27}{res}{space 2} -.282803{col 39}{space 2} .4246705{col 50}{space 1}   -0.67{col 59}{space 3}0.505{col 67}{space 4}-1.115142{col 80}{space 3}  .549536
{txt}{space 20}_cons {c |}{col 27}{res}{space 2} 1.031121{col 39}{space 2} .3250378{col 50}{space 1}    3.17{col 59}{space 3}0.002{col 67}{space 4} .3940586{col 80}{space 3} 1.668183
{txt}{hline 26}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Appendix 3 *****
. 
. logit hardtarget_rebel_without       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3601.7893}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3601.1895}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3601.1894}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    180.74
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3601.1894{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9660867{col 38}{space 2} .1266393{col 49}{space 1}   -7.63{col 58}{space 3}0.000{col 66}{space 4}-1.214295{col 79}{space 3}-.7178783
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .6366319{col 38}{space 2} .5711186{col 49}{space 1}    1.11{col 58}{space 3}0.265{col 66}{space 4}-.4827399{col 79}{space 3} 1.756004
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.2627792{col 38}{space 2} 1.147861{col 49}{space 1}   -0.23{col 58}{space 3}0.819{col 66}{space 4}-2.512546{col 79}{space 3} 1.986987
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2}  .629425{col 38}{space 2} 1.173939{col 49}{space 1}    0.54{col 58}{space 3}0.592{col 66}{space 4}-1.671453{col 79}{space 3} 2.930303
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.4581405{col 38}{space 2} .5467675{col 49}{space 1}   -0.84{col 58}{space 3}0.402{col 66}{space 4}-1.529785{col 79}{space 3} .6135041
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.4093503{col 38}{space 2} .5917381{col 49}{space 1}   -0.69{col 58}{space 3}0.489{col 66}{space 4}-1.569136{col 79}{space 3} .7504349
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2} .2022179{col 38}{space 2} .3907632{col 49}{space 1}    0.52{col 58}{space 3}0.605{col 66}{space 4} -.563664{col 79}{space 3} .9680997
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2} .1497111{col 38}{space 2} .5259381{col 49}{space 1}    0.28{col 58}{space 3}0.776{col 66}{space 4}-.8811086{col 79}{space 3} 1.180531
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.7458226{col 38}{space 2} .5072287{col 49}{space 1}   -1.47{col 58}{space 3}0.141{col 66}{space 4}-1.739972{col 79}{space 3} .2483273
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.0136147{col 38}{space 2} .4051127{col 49}{space 1}   -0.03{col 58}{space 3}0.973{col 66}{space 4} -.807621{col 79}{space 3} .7803915
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .9267494{col 38}{space 2} .5517496{col 49}{space 1}    1.68{col 58}{space 3}0.093{col 66}{space 4}-.1546599{col 79}{space 3} 2.008159
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .3372672{col 38}{space 2} .3597189{col 49}{space 1}    0.94{col 58}{space 3}0.348{col 66}{space 4}-.3677688{col 79}{space 3} 1.042303
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.8300719{col 38}{space 2} .2445659{col 49}{space 1}   -3.39{col 58}{space 3}0.001{col 66}{space 4}-1.309412{col 79}{space 3}-.3507315
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.286903{col 38}{space 2} .2417606{col 49}{space 1}   -5.32{col 58}{space 3}0.000{col 66}{space 4}-1.760745{col 79}{space 3}-.8130611
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.3255318{col 38}{space 2} .2045429{col 49}{space 1}   -1.59{col 58}{space 3}0.111{col 66}{space 4}-.7264286{col 79}{space 3}  .075365
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2} .1921506{col 38}{space 2} .1695353{col 49}{space 1}    1.13{col 58}{space 3}0.257{col 66}{space 4}-.1401324{col 79}{space 3} .5244337
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0499686{col 38}{space 2} .1309978{col 49}{space 1}    0.38{col 58}{space 3}0.703{col 66}{space 4}-.2067824{col 79}{space 3} .3067196
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .1215212{col 38}{space 2} .1356641{col 49}{space 1}    0.90{col 58}{space 3}0.370{col 66}{space 4}-.1443755{col 79}{space 3} .3874179
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2764075{col 38}{space 2}  .125242{col 49}{space 1}    2.21{col 58}{space 3}0.027{col 66}{space 4} .0309377{col 79}{space 3} .5218773
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3687266{col 38}{space 2} .1397581{col 49}{space 1}    2.64{col 58}{space 3}0.008{col 66}{space 4} .0948057{col 79}{space 3} .6426476
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} .3504363{col 38}{space 2} .1517336{col 49}{space 1}    2.31{col 58}{space 3}0.021{col 66}{space 4} .0530438{col 79}{space 3} .6478287
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2314936{col 38}{space 2} .1425854{col 49}{space 1}   -1.62{col 58}{space 3}0.104{col 66}{space 4}-.5109558{col 79}{space 3} .0479686
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1909043{col 38}{space 2} .1669216{col 49}{space 1}    1.14{col 58}{space 3}0.253{col 66}{space 4}-.1362559{col 79}{space 3} .5180646
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1781611{col 38}{space 2} .1638259{col 49}{space 1}    1.09{col 58}{space 3}0.277{col 66}{space 4}-.1429318{col 79}{space 3}  .499254
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2}  .140651{col 38}{space 2} .1388246{col 49}{space 1}    1.01{col 58}{space 3}0.311{col 66}{space 4}-.1314403{col 79}{space 3} .4127423
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2} .0352561{col 38}{space 2} .1357862{col 49}{space 1}    0.26{col 58}{space 3}0.795{col 66}{space 4}  -.23088{col 79}{space 3} .3013923
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3298426{col 38}{space 2} .1186074{col 49}{space 1}   -2.78{col 58}{space 3}0.005{col 66}{space 4}-.5623088{col 79}{space 3}-.0973765
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .7458226{col 38}{space 2} .0850777{col 49}{space 1}    8.77{col 58}{space 3}0.000{col 66}{space 4} .5790734{col 79}{space 3} .9125718
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3601.7575}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3601.1579}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3601.1578}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    180.76
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3601.1578{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9671147{col 38}{space 2} .1267061{col 49}{space 1}   -7.63{col 58}{space 3}0.000{col 66}{space 4}-1.215454{col 79}{space 3}-.7187753
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2}-.0300254{col 38}{space 2} .1231826{col 49}{space 1}   -0.24{col 58}{space 3}0.807{col 66}{space 4}-.2714588{col 79}{space 3}  .211408
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .6235453{col 38}{space 2} .5745464{col 49}{space 1}    1.09{col 58}{space 3}0.278{col 66}{space 4}-.5025449{col 79}{space 3} 1.749636
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.2763437{col 38}{space 2} 1.155575{col 49}{space 1}   -0.24{col 58}{space 3}0.811{col 66}{space 4} -2.54123{col 79}{space 3} 1.988543
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6086904{col 38}{space 2} 1.175483{col 49}{space 1}    0.52{col 58}{space 3}0.605{col 66}{space 4}-1.695215{col 79}{space 3} 2.912596
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.4572063{col 38}{space 2} .5467766{col 49}{space 1}   -0.84{col 58}{space 3}0.403{col 66}{space 4}-1.528869{col 79}{space 3} .6144562
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.4084162{col 38}{space 2} .5917465{col 49}{space 1}   -0.69{col 58}{space 3}0.490{col 66}{space 4}-1.568218{col 79}{space 3} .7513857
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2} .2031883{col 38}{space 2} .3907897{col 49}{space 1}    0.52{col 58}{space 3}0.603{col 66}{space 4}-.5627454{col 79}{space 3} .9691219
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2} .1448076{col 38}{space 2} .5253781{col 49}{space 1}    0.28{col 58}{space 3}0.783{col 66}{space 4}-.8849146{col 79}{space 3}  1.17453
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.7448884{col 38}{space 2} .5072385{col 49}{space 1}   -1.47{col 58}{space 3}0.142{col 66}{space 4}-1.739058{col 79}{space 3} .2492808
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.0184757{col 38}{space 2} .4055719{col 49}{space 1}   -0.05{col 58}{space 3}0.964{col 66}{space 4}-.8133821{col 79}{space 3} .7764307
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .9145454{col 38}{space 2}  .555336{col 49}{space 1}    1.65{col 58}{space 3}0.100{col 66}{space 4}-.1738932{col 79}{space 3} 2.002984
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .3363453{col 38}{space 2} .3601349{col 49}{space 1}    0.93{col 58}{space 3}0.350{col 66}{space 4}-.3695061{col 79}{space 3} 1.042197
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.8318604{col 38}{space 2} .2444763{col 49}{space 1}   -3.40{col 58}{space 3}0.001{col 66}{space 4}-1.311025{col 79}{space 3}-.3526957
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.286283{col 38}{space 2} .2417912{col 49}{space 1}   -5.32{col 58}{space 3}0.000{col 66}{space 4}-1.760185{col 79}{space 3}-.8123812
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.3254636{col 38}{space 2} .2045466{col 49}{space 1}   -1.59{col 58}{space 3}0.112{col 66}{space 4}-.7263677{col 79}{space 3} .0754404
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2} .1897585{col 38}{space 2} .1698745{col 49}{space 1}    1.12{col 58}{space 3}0.264{col 66}{space 4}-.1431893{col 79}{space 3} .5227063
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0490241{col 38}{space 2} .1311044{col 49}{space 1}    0.37{col 58}{space 3}0.708{col 66}{space 4}-.2079358{col 79}{space 3}  .305984
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .1171639{col 38}{space 2} .1369001{col 49}{space 1}    0.86{col 58}{space 3}0.392{col 66}{space 4}-.1511553{col 79}{space 3} .3854831
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2728193{col 38}{space 2}  .126286{col 49}{space 1}    2.16{col 58}{space 3}0.031{col 66}{space 4} .0253034{col 79}{space 3} .5203353
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3682171{col 38}{space 2}  .139775{col 49}{space 1}    2.63{col 58}{space 3}0.008{col 66}{space 4}  .094263{col 79}{space 3} .6421711
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2}  .349509{col 38}{space 2} .1517423{col 49}{space 1}    2.30{col 58}{space 3}0.021{col 66}{space 4} .0520995{col 79}{space 3} .6469184
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2321703{col 38}{space 2} .1426298{col 49}{space 1}   -1.63{col 58}{space 3}0.104{col 66}{space 4}-.5117195{col 79}{space 3}  .047379
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1902596{col 38}{space 2} .1669606{col 49}{space 1}    1.14{col 58}{space 3}0.254{col 66}{space 4}-.1369772{col 79}{space 3} .5174964
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1786362{col 38}{space 2} .1638553{col 49}{space 1}    1.09{col 58}{space 3}0.276{col 66}{space 4}-.1425142{col 79}{space 3} .4997866
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2}  .141001{col 38}{space 2} .1388361{col 49}{space 1}    1.02{col 58}{space 3}0.310{col 66}{space 4}-.1311128{col 79}{space 3} .4131147
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2} .0360143{col 38}{space 2} .1358287{col 49}{space 1}    0.27{col 58}{space 3}0.791{col 66}{space 4} -.230205{col 79}{space 3} .3022337
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3292716{col 38}{space 2} .1186156{col 49}{space 1}   -2.78{col 58}{space 3}0.006{col 66}{space 4} -.561754{col 79}{space 3}-.0967893
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .7749138{col 38}{space 2} .1470885{col 49}{space 1}    5.27{col 58}{space 3}0.000{col 66}{space 4} .4866256{col 79}{space 3} 1.063202
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3595.4639}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3594.7875}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3594.7874}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}Wald chi2({res}30{txt}){col 67}= {res}    190.01
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3594.7874{txt}{col 49}Pseudo R2{col 67}= {res}    0.0269

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9717345{col 38}{space 2} .1274825{col 49}{space 1}   -7.62{col 58}{space 3}0.000{col 66}{space 4}-1.221596{col 79}{space 3}-.7218733
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2} .2815569{col 38}{space 2} .1619475{col 49}{space 1}    1.74{col 58}{space 3}0.082{col 66}{space 4}-.0358543{col 79}{space 3} .5989681
{txt}{space 5}Muslim_organization {c |}{col 26}{res}{space 2} -.360072{col 38}{space 2} .1431049{col 49}{space 1}   -2.52{col 58}{space 3}0.012{col 66}{space 4}-.6405524{col 79}{space 3}-.0795917
{txt}{space 4}foreign_organization {c |}{col 26}{res}{space 2}-.1201939{col 38}{space 2} .0629161{col 49}{space 1}   -1.91{col 58}{space 3}0.056{col 66}{space 4}-.2435071{col 79}{space 3} .0031194
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .5486888{col 38}{space 2} .6343526{col 49}{space 1}    0.86{col 58}{space 3}0.387{col 66}{space 4}-.6946195{col 79}{space 3} 1.791997
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.3820157{col 38}{space 2} 1.165758{col 49}{space 1}   -0.33{col 58}{space 3}0.743{col 66}{space 4}-2.666859{col 79}{space 3} 1.902828
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6910625{col 38}{space 2} 1.205086{col 49}{space 1}    0.57{col 58}{space 3}0.566{col 66}{space 4}-1.670863{col 79}{space 3} 3.052988
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.6162003{col 38}{space 2} .5358222{col 49}{space 1}   -1.15{col 58}{space 3}0.250{col 66}{space 4}-1.666392{col 79}{space 3} .4339919
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.5889036{col 38}{space 2} .5722471{col 49}{space 1}   -1.03{col 58}{space 3}0.303{col 66}{space 4}-1.710487{col 79}{space 3} .5326801
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2}-.0615672{col 38}{space 2} .3971214{col 49}{space 1}   -0.16{col 58}{space 3}0.877{col 66}{space 4}-.8399109{col 79}{space 3} .7167765
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2}-.0552657{col 38}{space 2} .5443863{col 49}{space 1}   -0.10{col 58}{space 3}0.919{col 66}{space 4}-1.122243{col 79}{space 3} 1.011712
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.9860371{col 38}{space 2} .4897482{col 49}{space 1}   -2.01{col 58}{space 3}0.044{col 66}{space 4}-1.945926{col 79}{space 3}-.0261482
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.2705168{col 38}{space 2} .4151288{col 49}{space 1}   -0.65{col 58}{space 3}0.515{col 66}{space 4}-1.084154{col 79}{space 3} .5431207
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .8045969{col 38}{space 2} .5882608{col 49}{space 1}    1.37{col 58}{space 3}0.171{col 66}{space 4}-.3483731{col 79}{space 3} 1.957567
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .1014403{col 38}{space 2} .3687422{col 49}{space 1}    0.28{col 58}{space 3}0.783{col 66}{space 4}-.6212811{col 79}{space 3} .8241617
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.9185605{col 38}{space 2}  .247754{col 49}{space 1}   -3.71{col 58}{space 3}0.000{col 66}{space 4}-1.404149{col 79}{space 3}-.4329716
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.360987{col 38}{space 2} .2440722{col 49}{space 1}   -5.58{col 58}{space 3}0.000{col 66}{space 4}-1.839359{col 79}{space 3}-.8826139
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}  -.41305{col 38}{space 2} .2055413{col 49}{space 1}   -2.01{col 58}{space 3}0.044{col 66}{space 4}-.8159035{col 79}{space 3}-.0101964
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2}  .142224{col 38}{space 2} .1712277{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-.1933761{col 79}{space 3}  .477824
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0046906{col 38}{space 2} .1328794{col 49}{space 1}    0.04{col 58}{space 3}0.972{col 66}{space 4}-.2557483{col 79}{space 3} .2651295
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .0757829{col 38}{space 2} .1369063{col 49}{space 1}    0.55{col 58}{space 3}0.580{col 66}{space 4}-.1925486{col 79}{space 3} .3441144
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2366016{col 38}{space 2}  .126355{col 49}{space 1}    1.87{col 58}{space 3}0.061{col 66}{space 4}-.0110497{col 79}{space 3} .4842529
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3275928{col 38}{space 2}  .140656{col 49}{space 1}    2.33{col 58}{space 3}0.020{col 66}{space 4}  .051912{col 79}{space 3} .6032736
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} .2904466{col 38}{space 2}  .153589{col 49}{space 1}    1.89{col 58}{space 3}0.059{col 66}{space 4}-.0105824{col 79}{space 3} .5914755
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2845451{col 38}{space 2} .1441256{col 49}{space 1}   -1.97{col 58}{space 3}0.048{col 66}{space 4}-.5670261{col 79}{space 3} -.002064
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1402868{col 38}{space 2} .1686991{col 49}{space 1}    0.83{col 58}{space 3}0.406{col 66}{space 4}-.1903573{col 79}{space 3} .4709309
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1348089{col 38}{space 2} .1651568{col 49}{space 1}    0.82{col 58}{space 3}0.414{col 66}{space 4}-.1888925{col 79}{space 3} .4585103
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2} .1101136{col 38}{space 2} .1394438{col 49}{space 1}    0.79{col 58}{space 3}0.430{col 66}{space 4}-.1631911{col 79}{space 3} .3834184
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2}-.0018579{col 38}{space 2} .1370591{col 49}{space 1}   -0.01{col 58}{space 3}0.989{col 66}{space 4}-.2704889{col 79}{space 3}  .266773
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3492109{col 38}{space 2} .1191767{col 49}{space 1}   -2.93{col 58}{space 3}0.003{col 66}{space 4} -.582793{col 79}{space 3}-.1156288
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .9071406{col 38}{space 2} .1542914{col 49}{space 1}    5.88{col 58}{space 3}0.000{col 66}{space 4}  .604735{col 79}{space 3} 1.209546
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3558.9097}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3557.849}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3557.8488}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}Wald chi2({res}32{txt}){col 67}= {res}    255.57
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3557.8488{txt}{col 49}Pseudo R2{col 67}= {res}    0.0369

{txt}{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9287856{col 38}{space 2} .1308217{col 49}{space 1}   -7.10{col 58}{space 3}0.000{col 66}{space 4}-1.185191{col 79}{space 3}-.6723798
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2} .2821154{col 38}{space 2} .1604717{col 49}{space 1}    1.76{col 58}{space 3}0.079{col 66}{space 4}-.0324032{col 79}{space 3} .5966341
{txt}{space 5}Muslim_organization {c |}{col 26}{res}{space 2}-.3086838{col 38}{space 2} .1458706{col 49}{space 1}   -2.12{col 58}{space 3}0.034{col 66}{space 4}-.5945849{col 79}{space 3}-.0227827
{txt}{space 4}foreign_organization {c |}{col 26}{res}{space 2}-.2447856{col 38}{space 2}  .094629{col 49}{space 1}   -2.59{col 58}{space 3}0.010{col 66}{space 4}-.4302549{col 79}{space 3}-.0593162
{txt}{space 12}f_occupation {c |}{col 26}{res}{space 2} .6767559{col 38}{space 2}  .086385{col 49}{space 1}    7.83{col 58}{space 3}0.000{col 66}{space 4} .5074444{col 79}{space 3} .8460673
{txt}{space 15}iraqsyria {c |}{col 26}{res}{space 2}  .139135{col 38}{space 2} .0969505{col 49}{space 1}    1.44{col 58}{space 3}0.151{col 66}{space 4}-.0508845{col 79}{space 3} .3291546
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .5513017{col 38}{space 2} .6219493{col 49}{space 1}    0.89{col 58}{space 3}0.375{col 66}{space 4}-.6676965{col 79}{space 3}   1.7703
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.3899341{col 38}{space 2} 1.163968{col 49}{space 1}   -0.34{col 58}{space 3}0.738{col 66}{space 4} -2.67127{col 79}{space 3} 1.891402
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6544499{col 38}{space 2} 1.198773{col 49}{space 1}    0.55{col 58}{space 3}0.585{col 66}{space 4}-1.695102{col 79}{space 3} 3.004002
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.6281175{col 38}{space 2} .5403386{col 49}{space 1}   -1.16{col 58}{space 3}0.245{col 66}{space 4}-1.687162{col 79}{space 3} .4309267
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.5635121{col 38}{space 2} .5766747{col 49}{space 1}   -0.98{col 58}{space 3}0.328{col 66}{space 4}-1.693774{col 79}{space 3} .5667496
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2}-.0279056{col 38}{space 2} .4002299{col 49}{space 1}   -0.07{col 58}{space 3}0.944{col 66}{space 4}-.8123417{col 79}{space 3} .7565306
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2}-.0802389{col 38}{space 2} .5411153{col 49}{space 1}   -0.15{col 58}{space 3}0.882{col 66}{space 4}-1.140805{col 79}{space 3} .9803276
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-1.017901{col 38}{space 2} .4841059{col 49}{space 1}   -2.10{col 58}{space 3}0.035{col 66}{space 4}-1.966731{col 79}{space 3}-.0690707
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.2462466{col 38}{space 2} .4156501{col 49}{space 1}   -0.59{col 58}{space 3}0.554{col 66}{space 4}-1.060906{col 79}{space 3} .5684126
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .7808042{col 38}{space 2} .5861538{col 49}{space 1}    1.33{col 58}{space 3}0.183{col 66}{space 4}-.3680362{col 79}{space 3} 1.929645
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .1185955{col 38}{space 2} .3676127{col 49}{space 1}    0.32{col 58}{space 3}0.747{col 66}{space 4}-.6019122{col 79}{space 3} .8391032
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.9393412{col 38}{space 2} .2466761{col 49}{space 1}   -3.81{col 58}{space 3}0.000{col 66}{space 4}-1.422817{col 79}{space 3}-.4558649
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.380956{col 38}{space 2} .2425052{col 49}{space 1}   -5.69{col 58}{space 3}0.000{col 66}{space 4}-1.856258{col 79}{space 3} -.905655
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.6903477{col 38}{space 2} .2022897{col 49}{space 1}   -3.41{col 58}{space 3}0.001{col 66}{space 4}-1.086828{col 79}{space 3}-.2938672
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2}-.3365462{col 38}{space 2} .1803337{col 49}{space 1}   -1.87{col 58}{space 3}0.062{col 66}{space 4}-.6899938{col 79}{space 3} .0169015
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2}-.6298751{col 38}{space 2} .1502827{col 49}{space 1}   -4.19{col 58}{space 3}0.000{col 66}{space 4}-.9244237{col 79}{space 3}-.3353265
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2}-.5306127{col 38}{space 2} .1557351{col 49}{space 1}   -3.41{col 58}{space 3}0.001{col 66}{space 4}-.8358478{col 79}{space 3}-.2253775
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2}-.3307169{col 38}{space 2} .1427464{col 49}{space 1}   -2.32{col 58}{space 3}0.021{col 66}{space 4}-.6104948{col 79}{space 3} -.050939
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2}-.1578569{col 38}{space 2}  .152704{col 49}{space 1}   -1.03{col 58}{space 3}0.301{col 66}{space 4}-.4571513{col 79}{space 3} .1414374
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} -.103777{col 38}{space 2} .1623881{col 49}{space 1}   -0.64{col 58}{space 3}0.523{col 66}{space 4}-.4220519{col 79}{space 3} .2144979
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.5129744{col 38}{space 2} .1468376{col 49}{space 1}   -3.49{col 58}{space 3}0.000{col 66}{space 4}-.8007707{col 79}{space 3}-.2251781
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2}-.1576358{col 38}{space 2}  .174228{col 49}{space 1}   -0.90{col 58}{space 3}0.366{col 66}{space 4}-.4991165{col 79}{space 3} .1838448
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2}-.0346281{col 38}{space 2} .1674884{col 49}{space 1}   -0.21{col 58}{space 3}0.836{col 66}{space 4}-.3628994{col 79}{space 3} .2936431
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2} -.042069{col 38}{space 2} .1408211{col 49}{space 1}   -0.30{col 58}{space 3}0.765{col 66}{space 4}-.3180734{col 79}{space 3} .2339353
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2}-.0141603{col 38}{space 2} .1371587{col 49}{space 1}   -0.10{col 58}{space 3}0.918{col 66}{space 4}-.2829864{col 79}{space 3} .2546658
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3553276{col 38}{space 2}  .118866{col 49}{space 1}   -2.99{col 58}{space 3}0.003{col 66}{space 4}-.5883007{col 79}{space 3}-.1223544
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .8676111{col 38}{space 2} .1629557{col 49}{space 1}    5.32{col 58}{space 3}0.000{col 66}{space 4} .5482239{col 79}{space 3} 1.186998
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3601.7893}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3601.1895}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3601.1894}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(26)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3601.1894{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{ralign 90:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9660867{col 38}{space 2} .2846179{col 49}{space 1}   -3.39{col 58}{space 3}0.001{col 66}{space 4}-1.523928{col 79}{space 3}-.4082458
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .6366319{col 38}{space 2} .3011659{col 49}{space 1}    2.11{col 58}{space 3}0.035{col 66}{space 4} .0463577{col 79}{space 3} 1.226906
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.2627792{col 38}{space 2} .2162212{col 49}{space 1}   -1.22{col 58}{space 3}0.224{col 66}{space 4}-.6865649{col 79}{space 3} .1610065
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2}  .629425{col 38}{space 2} .5161547{col 49}{space 1}    1.22{col 58}{space 3}0.223{col 66}{space 4}-.3822196{col 79}{space 3}  1.64107
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.4581405{col 38}{space 2} .6790392{col 49}{space 1}   -0.67{col 58}{space 3}0.500{col 66}{space 4}-1.789033{col 79}{space 3} .8727519
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.4093503{col 38}{space 2}  .811491{col 49}{space 1}   -0.50{col 58}{space 3}0.614{col 66}{space 4}-1.999843{col 79}{space 3} 1.181143
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2} .2022179{col 38}{space 2}  .502738{col 49}{space 1}    0.40{col 58}{space 3}0.688{col 66}{space 4}-.7831305{col 79}{space 3} 1.187566
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2} .1497111{col 38}{space 2} .8515381{col 49}{space 1}    0.18{col 58}{space 3}0.860{col 66}{space 4}-1.519273{col 79}{space 3} 1.818695
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.7458226{col 38}{space 2} .9857445{col 49}{space 1}   -0.76{col 58}{space 3}0.449{col 66}{space 4}-2.677846{col 79}{space 3} 1.186201
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.0136147{col 38}{space 2} .5934674{col 49}{space 1}   -0.02{col 58}{space 3}0.982{col 66}{space 4}-1.176789{col 79}{space 3}  1.14956
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .9267494{col 38}{space 2} .7496619{col 49}{space 1}    1.24{col 58}{space 3}0.216{col 66}{space 4}-.5425609{col 79}{space 3}  2.39606
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .3372672{col 38}{space 2} .3865565{col 49}{space 1}    0.87{col 58}{space 3}0.383{col 66}{space 4}-.4203697{col 79}{space 3} 1.094904
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.8300719{col 38}{space 2} .5652456{col 49}{space 1}   -1.47{col 58}{space 3}0.142{col 66}{space 4}-1.937933{col 79}{space 3} .2777891
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.286903{col 38}{space 2} .3122516{col 49}{space 1}   -4.12{col 58}{space 3}0.000{col 66}{space 4}-1.898905{col 79}{space 3}-.6749013
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.3255318{col 38}{space 2} .6277365{col 49}{space 1}   -0.52{col 58}{space 3}0.604{col 66}{space 4}-1.555873{col 79}{space 3} .9048091
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2} .1921506{col 38}{space 2} .3398477{col 49}{space 1}    0.57{col 58}{space 3}0.572{col 66}{space 4}-.4739386{col 79}{space 3} .8582398
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0499686{col 38}{space 2} .2621599{col 49}{space 1}    0.19{col 58}{space 3}0.849{col 66}{space 4}-.4638554{col 79}{space 3} .5637925
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .1215212{col 38}{space 2} .3684958{col 49}{space 1}    0.33{col 58}{space 3}0.742{col 66}{space 4}-.6007173{col 79}{space 3} .8437597
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2764075{col 38}{space 2} .4288409{col 49}{space 1}    0.64{col 58}{space 3}0.519{col 66}{space 4}-.5641052{col 79}{space 3}  1.11692
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3687266{col 38}{space 2} .2793634{col 49}{space 1}    1.32{col 58}{space 3}0.187{col 66}{space 4}-.1788156{col 79}{space 3} .9162688
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} .3504363{col 38}{space 2} .3878438{col 49}{space 1}    0.90{col 58}{space 3}0.366{col 66}{space 4}-.4097237{col 79}{space 3} 1.110596
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2314936{col 38}{space 2} .3280789{col 49}{space 1}   -0.71{col 58}{space 3}0.480{col 66}{space 4}-.8745165{col 79}{space 3} .4115293
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1909043{col 38}{space 2} .2431932{col 49}{space 1}    0.78{col 58}{space 3}0.432{col 66}{space 4}-.2857457{col 79}{space 3} .6675543
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1781611{col 38}{space 2} .2848552{col 49}{space 1}    0.63{col 58}{space 3}0.532{col 66}{space 4}-.3801447{col 79}{space 3}  .736467
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2}  .140651{col 38}{space 2} .2855152{col 49}{space 1}    0.49{col 58}{space 3}0.622{col 66}{space 4}-.4189486{col 79}{space 3} .7002505
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2} .0352561{col 38}{space 2} .2732914{col 49}{space 1}    0.13{col 58}{space 3}0.897{col 66}{space 4}-.5003852{col 79}{space 3} .5708975
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3298426{col 38}{space 2} .4722485{col 49}{space 1}   -0.70{col 58}{space 3}0.485{col 66}{space 4}-1.255433{col 79}{space 3} .5957474
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .7458226{col 38}{space 2} .1282887{col 49}{space 1}    5.81{col 58}{space 3}0.000{col 66}{space 4} .4943813{col 79}{space 3} .9972638
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3601.7575}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3601.1579}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3601.1578}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(27)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3601.1578{txt}{col 49}Pseudo R2{col 67}= {res}    0.0252

{txt}{ralign 90:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9671147{col 38}{space 2}   .28813{col 49}{space 1}   -3.36{col 58}{space 3}0.001{col 66}{space 4}-1.531839{col 79}{space 3}-.4023902
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2}-.0300254{col 38}{space 2} .3725982{col 49}{space 1}   -0.08{col 58}{space 3}0.936{col 66}{space 4}-.7603045{col 79}{space 3} .7002537
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .6235453{col 38}{space 2} .3402146{col 49}{space 1}    1.83{col 58}{space 3}0.067{col 66}{space 4} -.043263{col 79}{space 3} 1.290354
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.2763437{col 38}{space 2} .2693029{col 49}{space 1}   -1.03{col 58}{space 3}0.305{col 66}{space 4}-.8041677{col 79}{space 3} .2514803
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6086904{col 38}{space 2} .6010406{col 49}{space 1}    1.01{col 58}{space 3}0.311{col 66}{space 4}-.5693275{col 79}{space 3} 1.786708
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.4572063{col 38}{space 2} .6746889{col 49}{space 1}   -0.68{col 58}{space 3}0.498{col 66}{space 4}-1.779572{col 79}{space 3} .8651595
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.4084162{col 38}{space 2} .8091269{col 49}{space 1}   -0.50{col 58}{space 3}0.614{col 66}{space 4}-1.994276{col 79}{space 3} 1.177443
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2} .2031883{col 38}{space 2} .5004831{col 49}{space 1}    0.41{col 58}{space 3}0.685{col 66}{space 4}-.7777406{col 79}{space 3} 1.184117
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2} .1448076{col 38}{space 2} .8540079{col 49}{space 1}    0.17{col 58}{space 3}0.865{col 66}{space 4}-1.529017{col 79}{space 3} 1.818632
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.7448884{col 38}{space 2} .9835132{col 49}{space 1}   -0.76{col 58}{space 3}0.449{col 66}{space 4}-2.672539{col 79}{space 3} 1.182762
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.0184757{col 38}{space 2} .6043123{col 49}{space 1}   -0.03{col 58}{space 3}0.976{col 66}{space 4}-1.202906{col 79}{space 3} 1.165955
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .9145454{col 38}{space 2} .7700335{col 49}{space 1}    1.19{col 58}{space 3}0.235{col 66}{space 4}-.5946925{col 79}{space 3} 2.423783
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .3363453{col 38}{space 2}  .387037{col 49}{space 1}    0.87{col 58}{space 3}0.385{col 66}{space 4}-.4222332{col 79}{space 3} 1.094924
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.8318604{col 38}{space 2} .5702734{col 49}{space 1}   -1.46{col 58}{space 3}0.145{col 66}{space 4}-1.949576{col 79}{space 3} .2858549
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.286283{col 38}{space 2} .3103102{col 49}{space 1}   -4.15{col 58}{space 3}0.000{col 66}{space 4} -1.89448{col 79}{space 3}-.6780864
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.3254636{col 38}{space 2} .6276817{col 49}{space 1}   -0.52{col 58}{space 3}0.604{col 66}{space 4}-1.555697{col 79}{space 3}   .90477
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2} .1897585{col 38}{space 2} .3210456{col 49}{space 1}    0.59{col 58}{space 3}0.554{col 66}{space 4}-.4394792{col 79}{space 3} .8189962
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0490241{col 38}{space 2} .2533345{col 49}{space 1}    0.19{col 58}{space 3}0.847{col 66}{space 4}-.4475024{col 79}{space 3} .5455506
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .1171639{col 38}{space 2} .4100758{col 49}{space 1}    0.29{col 58}{space 3}0.775{col 66}{space 4}-.6865699{col 79}{space 3} .9208977
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2728193{col 38}{space 2}  .468844{col 49}{space 1}    0.58{col 58}{space 3}0.561{col 66}{space 4} -.646098{col 79}{space 3} 1.191737
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3682171{col 38}{space 2} .2828206{col 49}{space 1}    1.30{col 58}{space 3}0.193{col 66}{space 4}-.1861012{col 79}{space 3} .9225353
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2}  .349509{col 38}{space 2} .3929087{col 49}{space 1}    0.89{col 58}{space 3}0.374{col 66}{space 4} -.420578{col 79}{space 3} 1.119596
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2321703{col 38}{space 2} .3318433{col 49}{space 1}   -0.70{col 58}{space 3}0.484{col 66}{space 4}-.8825712{col 79}{space 3} .4182306
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1902596{col 38}{space 2} .2441447{col 49}{space 1}    0.78{col 58}{space 3}0.436{col 66}{space 4}-.2882551{col 79}{space 3} .6687744
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1786362{col 38}{space 2} .2821567{col 49}{space 1}    0.63{col 58}{space 3}0.527{col 66}{space 4}-.3743807{col 79}{space 3} .7316531
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2}  .141001{col 38}{space 2} .2834673{col 49}{space 1}    0.50{col 58}{space 3}0.619{col 66}{space 4}-.4145847{col 79}{space 3} .6965866
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2} .0360143{col 38}{space 2} .2684001{col 49}{space 1}    0.13{col 58}{space 3}0.893{col 66}{space 4}-.4900403{col 79}{space 3}  .562069
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3292716{col 38}{space 2} .4745111{col 49}{space 1}   -0.69{col 58}{space 3}0.488{col 66}{space 4}-1.259296{col 79}{space 3} .6007531
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .7749138{col 38}{space 2} .4126994{col 49}{space 1}    1.88{col 58}{space 3}0.060{col 66}{space 4}-.0339621{col 79}{space 3}  1.58379
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3595.4639}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3594.7875}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3594.7874}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(29)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3594.7874{txt}{col 49}Pseudo R2{col 67}= {res}    0.0269

{txt}{ralign 90:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9717345{col 38}{space 2} .2972164{col 49}{space 1}   -3.27{col 58}{space 3}0.001{col 66}{space 4}-1.554268{col 79}{space 3} -.389201
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2} .2815569{col 38}{space 2} .3227037{col 49}{space 1}    0.87{col 58}{space 3}0.383{col 66}{space 4}-.3509307{col 79}{space 3} .9140445
{txt}{space 5}Muslim_organization {c |}{col 26}{res}{space 2} -.360072{col 38}{space 2} .3332459{col 49}{space 1}   -1.08{col 58}{space 3}0.280{col 66}{space 4}-1.013222{col 79}{space 3} .2930779
{txt}{space 4}foreign_organization {c |}{col 26}{res}{space 2}-.1201939{col 38}{space 2} .3145467{col 49}{space 1}   -0.38{col 58}{space 3}0.702{col 66}{space 4}-.7366941{col 79}{space 3} .4963063
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .5486888{col 38}{space 2}  .358819{col 49}{space 1}    1.53{col 58}{space 3}0.126{col 66}{space 4}-.1545836{col 79}{space 3} 1.251961
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.3820157{col 38}{space 2} .2939275{col 49}{space 1}   -1.30{col 58}{space 3}0.194{col 66}{space 4} -.958103{col 79}{space 3} .1940715
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6910625{col 38}{space 2} .5357151{col 49}{space 1}    1.29{col 58}{space 3}0.197{col 66}{space 4}-.3589198{col 79}{space 3} 1.741045
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.6162003{col 38}{space 2} .6524773{col 49}{space 1}   -0.94{col 58}{space 3}0.345{col 66}{space 4}-1.895032{col 79}{space 3} .6626318
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.5889036{col 38}{space 2} .7402626{col 49}{space 1}   -0.80{col 58}{space 3}0.426{col 66}{space 4}-2.039792{col 79}{space 3} .8619844
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2}-.0615672{col 38}{space 2} .4738053{col 49}{space 1}   -0.13{col 58}{space 3}0.897{col 66}{space 4}-.9902085{col 79}{space 3} .8670741
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2}-.0552657{col 38}{space 2} .8932993{col 49}{space 1}   -0.06{col 58}{space 3}0.951{col 66}{space 4}  -1.8061{col 79}{space 3} 1.695569
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-.9860371{col 38}{space 2} .9063904{col 49}{space 1}   -1.09{col 58}{space 3}0.277{col 66}{space 4} -2.76253{col 79}{space 3} .7904554
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.2705168{col 38}{space 2}  .563754{col 49}{space 1}   -0.48{col 58}{space 3}0.631{col 66}{space 4}-1.375454{col 79}{space 3} .8344208
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .8045969{col 38}{space 2} .9664603{col 49}{space 1}    0.83{col 58}{space 3}0.405{col 66}{space 4}-1.089631{col 79}{space 3} 2.698824
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .1014403{col 38}{space 2} .4927175{col 49}{space 1}    0.21{col 58}{space 3}0.837{col 66}{space 4}-.8642682{col 79}{space 3} 1.067149
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.9185605{col 38}{space 2} .5504273{col 49}{space 1}   -1.67{col 58}{space 3}0.095{col 66}{space 4}-1.997378{col 79}{space 3} .1602571
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.360987{col 38}{space 2} .3203885{col 49}{space 1}   -4.25{col 58}{space 3}0.000{col 66}{space 4}-1.988937{col 79}{space 3}-.7330366
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}  -.41305{col 38}{space 2} .5950163{col 49}{space 1}   -0.69{col 58}{space 3}0.488{col 66}{space 4}-1.579261{col 79}{space 3} .7531606
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2}  .142224{col 38}{space 2} .3114793{col 49}{space 1}    0.46{col 58}{space 3}0.648{col 66}{space 4}-.4682642{col 79}{space 3} .7527121
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2} .0046906{col 38}{space 2} .2379171{col 49}{space 1}    0.02{col 58}{space 3}0.984{col 66}{space 4}-.4616183{col 79}{space 3} .4709996
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2} .0757829{col 38}{space 2} .4004731{col 49}{space 1}    0.19{col 58}{space 3}0.850{col 66}{space 4}-.7091299{col 79}{space 3} .8606957
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2} .2366016{col 38}{space 2} .4590367{col 49}{space 1}    0.52{col 58}{space 3}0.606{col 66}{space 4}-.6630938{col 79}{space 3} 1.136297
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2} .3275928{col 38}{space 2} .2605915{col 49}{space 1}    1.26{col 58}{space 3}0.209{col 66}{space 4}-.1831571{col 79}{space 3} .8383428
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} .2904466{col 38}{space 2}  .339906{col 49}{space 1}    0.85{col 58}{space 3}0.393{col 66}{space 4} -.375757{col 79}{space 3} .9566502
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.2845451{col 38}{space 2} .2790316{col 49}{space 1}   -1.02{col 58}{space 3}0.308{col 66}{space 4} -.831437{col 79}{space 3} .2623469
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2} .1402868{col 38}{space 2} .2404712{col 49}{space 1}    0.58{col 58}{space 3}0.560{col 66}{space 4}-.3310281{col 79}{space 3} .6116017
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2} .1348089{col 38}{space 2} .2736557{col 49}{space 1}    0.49{col 58}{space 3}0.622{col 66}{space 4}-.4015463{col 79}{space 3} .6711641
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2} .1101136{col 38}{space 2} .2551961{col 49}{space 1}    0.43{col 58}{space 3}0.666{col 66}{space 4}-.3900615{col 79}{space 3} .6102888
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2}-.0018579{col 38}{space 2} .2039021{col 49}{space 1}   -0.01{col 58}{space 3}0.993{col 66}{space 4}-.4014988{col 79}{space 3} .3977829
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3492109{col 38}{space 2} .4482894{col 49}{space 1}   -0.78{col 58}{space 3}0.436{col 66}{space 4}-1.227842{col 79}{space 3} .5294203
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .9071406{col 38}{space 2} .4183195{col 49}{space 1}    2.17{col 58}{space 3}0.030{col 66}{space 4} .0872495{col 79}{space 3} 1.727032
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget_rebel_without       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3694.3321}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3558.9097}  
Iteration 2:{space 3}log pseudolikelihood = {res: -3557.849}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3557.8488}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     5,855
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(31)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3557.8488{txt}{col 49}Pseudo R2{col 67}= {res}    0.0369

{txt}{ralign 90:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 25}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 26}{c |}{col 38}    Robust
{col 1}hardtarget_rebel_without{col 26}{c |}      Coef.{col 38}   Std. Err.{col 50}      z{col 58}   P>|z|{col 66}     [95% Con{col 79}f. Interval]
{hline 25}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 18}female {c |}{col 26}{res}{space 2}-.9287856{col 38}{space 2}  .309741{col 49}{space 1}   -3.00{col 58}{space 3}0.003{col 66}{space 4}-1.535867{col 79}{space 3}-.3217044
{txt}{space 6}religious_conflict {c |}{col 26}{res}{space 2} .2821154{col 38}{space 2}  .324574{col 49}{space 1}    0.87{col 58}{space 3}0.385{col 66}{space 4} -.354038{col 79}{space 3} .9182689
{txt}{space 5}Muslim_organization {c |}{col 26}{res}{space 2}-.3086838{col 38}{space 2} .3455425{col 49}{space 1}   -0.89{col 58}{space 3}0.372{col 66}{space 4}-.9859346{col 79}{space 3} .3685669
{txt}{space 4}foreign_organization {c |}{col 26}{res}{space 2}-.2447856{col 38}{space 2} .2918783{col 49}{space 1}   -0.84{col 58}{space 3}0.402{col 66}{space 4}-.8168566{col 79}{space 3} .3272855
{txt}{space 12}f_occupation {c |}{col 26}{res}{space 2} .6767559{col 38}{space 2} .2133293{col 49}{space 1}    3.17{col 58}{space 3}0.002{col 66}{space 4} .2586382{col 79}{space 3} 1.094874
{txt}{space 15}iraqsyria {c |}{col 26}{res}{space 2}  .139135{col 38}{space 2} .2102806{col 49}{space 1}    0.66{col 58}{space 3}0.508{col 66}{space 4}-.2730073{col 79}{space 3} .5512774
{txt}{space 21}yr6 {c |}{col 26}{res}{space 2} .5513017{col 38}{space 2} .3525749{col 49}{space 1}    1.56{col 58}{space 3}0.118{col 66}{space 4}-.1397325{col 79}{space 3} 1.242336
{txt}{space 21}yr7 {c |}{col 26}{res}{space 2}-.3899341{col 38}{space 2} .2977636{col 49}{space 1}   -1.31{col 58}{space 3}0.190{col 66}{space 4}-.9735402{col 79}{space 3} .1936719
{txt}{space 21}yr8 {c |}{col 26}{res}{space 2} .6544499{col 38}{space 2}  .555144{col 49}{space 1}    1.18{col 58}{space 3}0.238{col 66}{space 4}-.4336124{col 79}{space 3} 1.742512
{txt}{space 20}yr14 {c |}{col 26}{res}{space 2}-.6281175{col 38}{space 2} .6520483{col 49}{space 1}   -0.96{col 58}{space 3}0.335{col 66}{space 4}-1.906109{col 79}{space 3} .6498736
{txt}{space 20}yr15 {c |}{col 26}{res}{space 2}-.5635121{col 38}{space 2} .7495748{col 49}{space 1}   -0.75{col 58}{space 3}0.452{col 66}{space 4}-2.032652{col 79}{space 3} .9056276
{txt}{space 20}yr16 {c |}{col 26}{res}{space 2}-.0279056{col 38}{space 2} .4899329{col 49}{space 1}   -0.06{col 58}{space 3}0.955{col 66}{space 4}-.9881565{col 79}{space 3} .9323453
{txt}{space 20}yr17 {c |}{col 26}{res}{space 2}-.0802389{col 38}{space 2} .9042624{col 49}{space 1}   -0.09{col 58}{space 3}0.929{col 66}{space 4}-1.852561{col 79}{space 3} 1.692083
{txt}{space 20}yr18 {c |}{col 26}{res}{space 2}-1.017901{col 38}{space 2} .9009307{col 49}{space 1}   -1.13{col 58}{space 3}0.259{col 66}{space 4}-2.783693{col 79}{space 3}  .747891
{txt}{space 20}yr19 {c |}{col 26}{res}{space 2}-.2462466{col 38}{space 2} .5550679{col 49}{space 1}   -0.44{col 58}{space 3}0.657{col 66}{space 4} -1.33416{col 79}{space 3} .8416664
{txt}{space 20}yr20 {c |}{col 26}{res}{space 2} .7808042{col 38}{space 2} .9579721{col 49}{space 1}    0.82{col 58}{space 3}0.415{col 66}{space 4}-1.096787{col 79}{space 3} 2.658395
{txt}{space 20}yr21 {c |}{col 26}{res}{space 2} .1185955{col 38}{space 2}  .511415{col 49}{space 1}    0.23{col 58}{space 3}0.817{col 66}{space 4}-.8837594{col 79}{space 3}  1.12095
{txt}{space 20}yr22 {c |}{col 26}{res}{space 2}-.9393412{col 38}{space 2} .5633604{col 49}{space 1}   -1.67{col 58}{space 3}0.095{col 66}{space 4}-2.043507{col 79}{space 3}  .164825
{txt}{space 20}yr23 {c |}{col 26}{res}{space 2}-1.380956{col 38}{space 2}  .322368{col 49}{space 1}   -4.28{col 58}{space 3}0.000{col 66}{space 4}-2.012786{col 79}{space 3}-.7491269
{txt}{space 20}yr24 {c |}{col 26}{res}{space 2}-.6903477{col 38}{space 2} .5155243{col 49}{space 1}   -1.34{col 58}{space 3}0.181{col 66}{space 4}-1.700757{col 79}{space 3} .3200613
{txt}{space 20}yr25 {c |}{col 26}{res}{space 2}-.3365462{col 38}{space 2} .2509463{col 49}{space 1}   -1.34{col 58}{space 3}0.180{col 66}{space 4}-.8283919{col 79}{space 3} .1552996
{txt}{space 20}yr26 {c |}{col 26}{res}{space 2}-.6298751{col 38}{space 2} .2952982{col 49}{space 1}   -2.13{col 58}{space 3}0.033{col 66}{space 4}-1.208649{col 79}{space 3}-.0511012
{txt}{space 20}yr27 {c |}{col 26}{res}{space 2}-.5306127{col 38}{space 2}  .361626{col 49}{space 1}   -1.47{col 58}{space 3}0.142{col 66}{space 4}-1.239387{col 79}{space 3} .1781613
{txt}{space 20}yr28 {c |}{col 26}{res}{space 2}-.3307169{col 38}{space 2} .4757841{col 49}{space 1}   -0.70{col 58}{space 3}0.487{col 66}{space 4}-1.263236{col 79}{space 3} .6018028
{txt}{space 20}yr29 {c |}{col 26}{res}{space 2}-.1578569{col 38}{space 2} .2761859{col 49}{space 1}   -0.57{col 58}{space 3}0.568{col 66}{space 4}-.6991714{col 79}{space 3} .3834576
{txt}{space 20}yr30 {c |}{col 26}{res}{space 2} -.103777{col 38}{space 2}  .313821{col 49}{space 1}   -0.33{col 58}{space 3}0.741{col 66}{space 4}-.7188548{col 79}{space 3} .5113009
{txt}{space 20}yr31 {c |}{col 26}{res}{space 2}-.5129744{col 38}{space 2} .1993247{col 49}{space 1}   -2.57{col 58}{space 3}0.010{col 66}{space 4}-.9036435{col 79}{space 3}-.1223052
{txt}{space 20}yr32 {c |}{col 26}{res}{space 2}-.1576358{col 38}{space 2} .3036389{col 49}{space 1}   -0.52{col 58}{space 3}0.604{col 66}{space 4}-.7527571{col 79}{space 3} .4374854
{txt}{space 20}yr33 {c |}{col 26}{res}{space 2}-.0346281{col 38}{space 2}  .315131{col 49}{space 1}   -0.11{col 58}{space 3}0.913{col 66}{space 4}-.6522735{col 79}{space 3} .5830172
{txt}{space 20}yr34 {c |}{col 26}{res}{space 2} -.042069{col 38}{space 2} .1815965{col 49}{space 1}   -0.23{col 58}{space 3}0.817{col 66}{space 4}-.3979916{col 79}{space 3} .3138535
{txt}{space 20}yr35 {c |}{col 26}{res}{space 2}-.0141603{col 38}{space 2} .2163039{col 49}{space 1}   -0.07{col 58}{space 3}0.948{col 66}{space 4}-.4381083{col 79}{space 3} .4097876
{txt}{space 20}yr36 {c |}{col 26}{res}{space 2}-.3553276{col 38}{space 2} .4525336{col 49}{space 1}   -0.79{col 58}{space 3}0.432{col 66}{space 4}-1.242277{col 79}{space 3} .5316219
{txt}{space 19}_cons {c |}{col 26}{res}{space 2} .8676111{col 38}{space 2} .3732222{col 49}{space 1}    2.32{col 58}{space 3}0.020{col 66}{space 4} .1361091{col 79}{space 3} 1.599113
{txt}{hline 25}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Appendix 5 *****
. * Print/broadcast media perspectives, v2merange 
. gen Female_Bomber_Media_Attention = female * v2merange
{txt}
{com}. gen Hard_Target = hardtarget
{txt}
{com}. gen Female_Bomber = female
{txt}
{com}. gen Media_Attention = v2merange
{txt}
{com}. 
. logit Hard_Target       i.Female_Bomber ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3886.1357}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3885.8597}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3885.8597}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    198.98
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3885.8597{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.Female_Bomber {c |}{col 17}{res}{space 2}-.8842057{col 29}{space 2}  .122688{col 40}{space 1}   -7.21{col 49}{space 3}0.000{col 57}{space 4} -1.12467{col 70}{space 3}-.6437417
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.4353168{col 29}{space 2} .3805499{col 40}{space 1}   -1.14{col 49}{space 3}0.253{col 57}{space 4}-1.181181{col 70}{space 3} .3105473
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-.9585285{col 29}{space 2} 1.172081{col 40}{space 1}   -0.82{col 49}{space 3}0.413{col 57}{space 4}-3.255766{col 70}{space 3} 1.338709
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .7857907{col 29}{space 2}  1.17298{col 40}{space 1}    0.67{col 49}{space 3}0.503{col 57}{space 4}-1.513208{col 70}{space 3} 3.084789
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.2407897{col 29}{space 2} .5459241{col 40}{space 1}   -0.44{col 49}{space 3}0.659{col 57}{space 4}-1.310781{col 70}{space 3} .8292019
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.1919995{col 29}{space 2} .5909585{col 40}{space 1}   -0.32{col 49}{space 3}0.745{col 57}{space 4}-1.350257{col 70}{space 3} .9662578
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4166854{col 29}{space 2} .3886431{col 40}{space 1}    1.07{col 49}{space 3}0.284{col 57}{space 4} -.345041{col 70}{space 3} 1.178412
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .3489265{col 29}{space 2} .5182532{col 40}{space 1}    0.67{col 49}{space 3}0.501{col 57}{space 4}-.6668312{col 70}{space 3} 1.364684
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.5284717{col 29}{space 2} .5063197{col 40}{space 1}   -1.04{col 49}{space 3}0.297{col 57}{space 4} -1.52084{col 70}{space 3} .4638966
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .0992298{col 29}{space 2} .3907913{col 40}{space 1}    0.25{col 49}{space 3}0.800{col 57}{space 4}-.6667072{col 70}{space 3} .8651668
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2} .7413254{col 29}{space 2} .4887906{col 40}{space 1}    1.52{col 49}{space 3}0.129{col 57}{space 4}-.2166865{col 70}{space 3} 1.699337
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5451204{col 29}{space 2} .3566791{col 40}{space 1}    1.53{col 49}{space 3}0.126{col 57}{space 4}-.1539579{col 70}{space 3} 1.244199
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2} -.616093{col 29}{space 2}   .24243{col 40}{space 1}   -2.54{col 49}{space 3}0.011{col 57}{space 4}-1.091247{col 70}{space 3}-.1409389
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-1.072001{col 29}{space 2} .2393389{col 40}{space 1}   -4.48{col 49}{space 3}0.000{col 57}{space 4}-1.541097{col 70}{space 3}-.6029052
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2}-.1159554{col 29}{space 2} .2016721{col 40}{space 1}   -0.57{col 49}{space 3}0.565{col 57}{space 4}-.5112254{col 70}{space 3} .2793146
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .4064312{col 29}{space 2} .1666609{col 40}{space 1}    2.44{col 49}{space 3}0.015{col 57}{space 4} .0797818{col 70}{space 3} .7330805
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .2591786{col 29}{space 2} .1271958{col 40}{space 1}    2.04{col 49}{space 3}0.042{col 57}{space 4} .0098794{col 70}{space 3} .5084777
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .3379669{col 29}{space 2} .1321731{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} .0789124{col 70}{space 3} .5970215
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2} .4158641{col 29}{space 2} .1195576{col 40}{space 1}    3.48{col 49}{space 3}0.001{col 57}{space 4} .1815356{col 70}{space 3} .6501927
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2}  .322417{col 29}{space 2} .1280174{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4} .0715074{col 70}{space 3} .5733265
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2}   .47241{col 29}{space 2} .1453003{col 40}{space 1}    3.25{col 49}{space 3}0.001{col 57}{space 4} .1876266{col 70}{space 3} .7571934
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0866262{col 29}{space 2} .1372677{col 40}{space 1}   -0.63{col 49}{space 3}0.528{col 57}{space 4}-.3556659{col 70}{space 3} .1824136
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .3767922{col 29}{space 2} .1626747{col 40}{space 1}    2.32{col 49}{space 3}0.021{col 57}{space 4} .0579557{col 70}{space 3} .6956287
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .2155811{col 29}{space 2} .1537365{col 40}{space 1}    1.40{col 49}{space 3}0.161{col 57}{space 4} -.085737{col 70}{space 3} .5168992
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2} .1761611{col 29}{space 2} .1302955{col 40}{space 1}    1.35{col 49}{space 3}0.176{col 57}{space 4}-.0792135{col 70}{space 3} .4315357
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0438365{col 29}{space 2} .1250545{col 40}{space 1}   -0.35{col 49}{space 3}0.726{col 57}{space 4}-.2889388{col 70}{space 3} .2012659
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.3459535{col 29}{space 2} .1118621{col 40}{space 1}   -3.09{col 49}{space 3}0.002{col 57}{space 4}-.5651991{col 70}{space 3}-.1267078
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .5284717{col 29}{space 2} .0794909{col 40}{space 1}    6.65{col 49}{space 3}0.000{col 57}{space 4} .3726724{col 70}{space 3} .6842711
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3895.4829}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3895.2131}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3895.2131}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    180.83
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3895.2131{txt}{col 49}Pseudo R2{col 67}= {res}    0.0231

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Media_Attention {c |}{col 17}{res}{space 2}-.1466691{col 29}{space 2} .0282391{col 40}{space 1}   -5.19{col 49}{space 3}0.000{col 57}{space 4}-.2020167{col 70}{space 3}-.0913215
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.5096332{col 29}{space 2} .3555653{col 40}{space 1}   -1.43{col 49}{space 3}0.152{col 57}{space 4}-1.206528{col 70}{space 3}  .187262
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-1.125566{col 29}{space 2} 1.227445{col 40}{space 1}   -0.92{col 49}{space 3}0.359{col 57}{space 4}-3.531314{col 70}{space 3} 1.280183
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .2538994{col 29}{space 2} 1.224689{col 40}{space 1}    0.21{col 49}{space 3}0.836{col 57}{space 4}-2.146447{col 70}{space 3} 2.654246
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.1780558{col 29}{space 2} .5485977{col 40}{space 1}   -0.32{col 49}{space 3}0.746{col 57}{space 4}-1.253288{col 70}{space 3}  .897176
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.0640621{col 29}{space 2} .5812205{col 40}{space 1}   -0.11{col 49}{space 3}0.912{col 57}{space 4}-1.203233{col 70}{space 3} 1.075109
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4628532{col 29}{space 2} .3784746{col 40}{space 1}    1.22{col 49}{space 3}0.221{col 57}{space 4}-.2789433{col 70}{space 3}  1.20465
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .2371925{col 29}{space 2} .4652806{col 40}{space 1}    0.51{col 49}{space 3}0.610{col 57}{space 4}-.6747408{col 70}{space 3} 1.149126
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.4062103{col 29}{space 2}  .499192{col 40}{space 1}   -0.81{col 49}{space 3}0.416{col 57}{space 4}-1.384609{col 70}{space 3} .5721881
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .0481322{col 29}{space 2} .3739407{col 40}{space 1}    0.13{col 49}{space 3}0.898{col 57}{space 4}-.6847781{col 70}{space 3} .7810425
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2} .5477079{col 29}{space 2}  .455991{col 40}{space 1}    1.20{col 49}{space 3}0.230{col 57}{space 4} -.346018{col 70}{space 3} 1.441434
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5040809{col 29}{space 2} .3479906{col 40}{space 1}    1.45{col 49}{space 3}0.147{col 57}{space 4}-.1779682{col 70}{space 3}  1.18613
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2}-.5520626{col 29}{space 2} .2406437{col 40}{space 1}   -2.29{col 49}{space 3}0.022{col 57}{space 4}-1.023716{col 70}{space 3}-.0804097
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-.9774951{col 29}{space 2} .2337485{col 40}{space 1}   -4.18{col 49}{space 3}0.000{col 57}{space 4}-1.435634{col 70}{space 3}-.5193565
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2} -.183102{col 29}{space 2}  .196572{col 40}{space 1}   -0.93{col 49}{space 3}0.352{col 57}{space 4}-.5683761{col 70}{space 3} .2021722
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .5204327{col 29}{space 2} .1693572{col 40}{space 1}    3.07{col 49}{space 3}0.002{col 57}{space 4} .1884988{col 70}{space 3} .8523666
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .4239822{col 29}{space 2} .1297069{col 40}{space 1}    3.27{col 49}{space 3}0.001{col 57}{space 4} .1697613{col 70}{space 3} .6782031
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .4577938{col 29}{space 2} .1317924{col 40}{space 1}    3.47{col 49}{space 3}0.001{col 57}{space 4} .1994853{col 70}{space 3} .7161022
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2}  .530684{col 29}{space 2} .1192644{col 40}{space 1}    4.45{col 49}{space 3}0.000{col 57}{space 4} .2969301{col 70}{space 3}  .764438
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2} .3492956{col 29}{space 2} .1277654{col 40}{space 1}    2.73{col 49}{space 3}0.006{col 57}{space 4} .0988801{col 70}{space 3} .5997112
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2} .5175264{col 29}{space 2} .1448059{col 40}{space 1}    3.57{col 49}{space 3}0.000{col 57}{space 4} .2337121{col 70}{space 3} .8013407
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0301221{col 29}{space 2} .1365084{col 40}{space 1}   -0.22{col 49}{space 3}0.825{col 57}{space 4}-.2976736{col 70}{space 3} .2374294
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .4117686{col 29}{space 2} .1610825{col 40}{space 1}    2.56{col 49}{space 3}0.011{col 57}{space 4} .0960528{col 70}{space 3} .7274844
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .1865831{col 29}{space 2} .1538805{col 40}{space 1}    1.21{col 49}{space 3}0.225{col 57}{space 4}-.1150172{col 70}{space 3} .4881834
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2} .2243186{col 29}{space 2} .1318986{col 40}{space 1}    1.70{col 49}{space 3}0.089{col 57}{space 4}-.0341979{col 70}{space 3}  .482835
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0129827{col 29}{space 2} .1263192{col 40}{space 1}   -0.10{col 49}{space 3}0.918{col 57}{space 4}-.2605637{col 70}{space 3} .2345983
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.4025947{col 29}{space 2} .1125524{col 40}{space 1}   -3.58{col 49}{space 3}0.000{col 57}{space 4}-.6231934{col 70}{space 3}-.1819959
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6188353{col 29}{space 2}  .086113{col 40}{space 1}    7.19{col 49}{space 3}0.000{col 57}{space 4} .4500569{col 70}{space 3} .7876137
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       i.Female_Bomber Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3872.2415}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3871.9349}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3871.9348}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}28{txt}){col 67}= {res}    229.44
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3871.9348{txt}{col 49}Pseudo R2{col 67}= {res}    0.0289

{txt}{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.Female_Bomber {c |}{col 17}{res}{space 2}-.8499655{col 29}{space 2} .1221137{col 40}{space 1}   -6.96{col 49}{space 3}0.000{col 57}{space 4}-1.089304{col 70}{space 3}-.6106271
{txt}Media_Attention {c |}{col 17}{res}{space 2}-.1365808{col 29}{space 2} .0283111{col 40}{space 1}   -4.82{col 49}{space 3}0.000{col 57}{space 4}-.1920696{col 70}{space 3} -.081092
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.4134958{col 29}{space 2} .3783162{col 40}{space 1}   -1.09{col 49}{space 3}0.274{col 57}{space 4}-1.154982{col 70}{space 3} .3279904
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-.9245249{col 29}{space 2}  1.17222{col 40}{space 1}   -0.79{col 49}{space 3}0.430{col 57}{space 4}-3.222033{col 70}{space 3} 1.372983
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .7984028{col 29}{space 2} 1.172979{col 40}{space 1}    0.68{col 49}{space 3}0.496{col 57}{space 4}-1.500594{col 70}{space 3} 3.097399
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.2290846{col 29}{space 2} .5482951{col 40}{space 1}   -0.42{col 49}{space 3}0.676{col 57}{space 4}-1.303723{col 70}{space 3}  .845554
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.1193954{col 29}{space 2} .5820107{col 40}{space 1}   -0.21{col 49}{space 3}0.837{col 57}{space 4}-1.260115{col 70}{space 3} 1.021325
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4387308{col 29}{space 2} .3846847{col 40}{space 1}    1.14{col 49}{space 3}0.254{col 57}{space 4}-.3152374{col 70}{space 3} 1.192699
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .3611008{col 29}{space 2}  .509673{col 40}{space 1}    0.71{col 49}{space 3}0.479{col 57}{space 4}-.6378401{col 70}{space 3} 1.360042
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.4611401{col 29}{space 2} .4998406{col 40}{space 1}   -0.92{col 49}{space 3}0.356{col 57}{space 4} -1.44081{col 70}{space 3} .5185296
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .1091008{col 29}{space 2}  .389186{col 40}{space 1}    0.28{col 49}{space 3}0.779{col 57}{space 4}-.6536897{col 70}{space 3} .8718914
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2}  .755211{col 29}{space 2} .4914344{col 40}{space 1}    1.54{col 49}{space 3}0.124{col 57}{space 4}-.2079827{col 70}{space 3} 1.718405
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5429625{col 29}{space 2} .3564199{col 40}{space 1}    1.52{col 49}{space 3}0.128{col 57}{space 4}-.1556077{col 70}{space 3} 1.241533
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2}-.5655352{col 29}{space 2} .2418564{col 40}{space 1}   -2.34{col 49}{space 3}0.019{col 57}{space 4}-1.039565{col 70}{space 3}-.0915055
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-.9988871{col 29}{space 2} .2384183{col 40}{space 1}   -4.19{col 49}{space 3}0.000{col 57}{space 4}-1.466178{col 70}{space 3}-.5315959
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2}-.1472279{col 29}{space 2} .1991309{col 40}{space 1}   -0.74{col 49}{space 3}0.460{col 57}{space 4}-.5375173{col 70}{space 3} .2430614
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .4911793{col 29}{space 2} .1694174{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .1591273{col 70}{space 3} .8232313
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .3789829{col 29}{space 2} .1307178{col 40}{space 1}    2.90{col 49}{space 3}0.004{col 57}{space 4} .1227808{col 70}{space 3}  .635185
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .4109788{col 29}{space 2} .1327531{col 40}{space 1}    3.10{col 49}{space 3}0.002{col 57}{space 4} .1507875{col 70}{space 3} .6711701
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2} .4950034{col 29}{space 2} .1200443{col 40}{space 1}    4.12{col 49}{space 3}0.000{col 57}{space 4} .2597208{col 70}{space 3}  .730286
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2} .3740457{col 29}{space 2} .1284575{col 40}{space 1}    2.91{col 49}{space 3}0.004{col 57}{space 4} .1222736{col 70}{space 3} .6258179
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2} .5000295{col 29}{space 2} .1451209{col 40}{space 1}    3.45{col 49}{space 3}0.001{col 57}{space 4} .2155979{col 70}{space 3} .7844612
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0614731{col 29}{space 2} .1374865{col 40}{space 1}   -0.45{col 49}{space 3}0.655{col 57}{space 4}-.3309417{col 70}{space 3} .2079956
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .3868182{col 29}{space 2} .1624788{col 40}{space 1}    2.38{col 49}{space 3}0.017{col 57}{space 4} .0683657{col 70}{space 3} .7052708
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .1513835{col 29}{space 2} .1547249{col 40}{space 1}    0.98{col 49}{space 3}0.328{col 57}{space 4}-.1518717{col 70}{space 3} .4546387
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2}  .184073{col 29}{space 2} .1320978{col 40}{space 1}    1.39{col 49}{space 3}0.163{col 57}{space 4}-.0748339{col 70}{space 3} .4429799
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0327742{col 29}{space 2} .1268467{col 40}{space 1}   -0.26{col 49}{space 3}0.796{col 57}{space 4}-.2813892{col 70}{space 3} .2158407
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.3333458{col 29}{space 2} .1133332{col 40}{space 1}   -2.94{col 49}{space 3}0.003{col 57}{space 4}-.5554749{col 70}{space 3}-.1112167
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6591401{col 29}{space 2} .0869885{col 40}{space 1}    7.58{col 49}{space 3}0.000{col 57}{space 4} .4886457{col 70}{space 3} .8296344
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       i.Female_Bomber Media_Attention Female_Bomber_Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3865.158}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3864.8893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3864.8893}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}Wald chi2({res}29{txt}){col 67}= {res}    241.88
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-3864.8893{txt}{col 49}Pseudo R2{col 67}= {res}    0.0307

{txt}{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  Hard_Target{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.Female_Bomber {c |}{col 31}{res}{space 2} -.205498{col 43}{space 2} .2649025{col 54}{space 1}   -0.78{col 63}{space 3}0.438{col 71}{space 4}-.7246973{col 84}{space 3} .3137013
{txt}{space 14}Media_Attention {c |}{col 31}{res}{space 2}-.1142199{col 43}{space 2} .0287018{col 54}{space 1}   -3.98{col 63}{space 3}0.000{col 71}{space 4}-.1704744{col 84}{space 3}-.0579655
{txt}Female_Bomber_Media_Attention {c |}{col 31}{res}{space 2}-.4711586{col 43}{space 2}  .152587{col 54}{space 1}   -3.09{col 63}{space 3}0.002{col 71}{space 4}-.7702236{col 84}{space 3}-.1720935
{txt}{space 26}yr6 {c |}{col 31}{res}{space 2}-.4238521{col 43}{space 2} .3766718{col 54}{space 1}   -1.13{col 63}{space 3}0.260{col 71}{space 4}-1.162115{col 84}{space 3}  .314411
{txt}{space 26}yr7 {c |}{col 31}{res}{space 2}-.9419789{col 43}{space 2} 1.172698{col 54}{space 1}   -0.80{col 63}{space 3}0.422{col 71}{space 4}-3.240425{col 84}{space 3} 1.356467
{txt}{space 26}yr8 {c |}{col 31}{res}{space 2} .7601856{col 43}{space 2} 1.173706{col 54}{space 1}    0.65{col 63}{space 3}0.517{col 71}{space 4}-1.540237{col 84}{space 3} 3.060608
{txt}{space 25}yr14 {c |}{col 31}{res}{space 2}-.2297165{col 43}{space 2} .5474152{col 54}{space 1}   -0.42{col 63}{space 3}0.675{col 71}{space 4}-1.302631{col 84}{space 3} .8431976
{txt}{space 25}yr15 {c |}{col 31}{res}{space 2}-.1296762{col 43}{space 2} .5834713{col 54}{space 1}   -0.22{col 63}{space 3}0.824{col 71}{space 4}-1.273259{col 84}{space 3} 1.013907
{txt}{space 25}yr16 {c |}{col 31}{res}{space 2} .4324112{col 43}{space 2} .3840257{col 54}{space 1}    1.13{col 63}{space 3}0.260{col 71}{space 4}-.3202654{col 84}{space 3} 1.185088
{txt}{space 25}yr17 {c |}{col 31}{res}{space 2} .3076314{col 43}{space 2}  .495658{col 54}{space 1}    0.62{col 63}{space 3}0.535{col 71}{space 4}-.6638403{col 84}{space 3} 1.279103
{txt}{space 25}yr18 {c |}{col 31}{res}{space 2}-.4705333{col 43}{space 2} .5009299{col 54}{space 1}   -0.94{col 63}{space 3}0.348{col 71}{space 4}-1.452338{col 84}{space 3} .5112712
{txt}{space 25}yr19 {c |}{col 31}{res}{space 2} .0758861{col 43}{space 2} .3848664{col 54}{space 1}    0.20{col 63}{space 3}0.844{col 71}{space 4}-.6784382{col 84}{space 3} .8302103
{txt}{space 25}yr20 {c |}{col 31}{res}{space 2} .7122974{col 43}{space 2} .4834565{col 54}{space 1}    1.47{col 63}{space 3}0.141{col 71}{space 4}-.2352599{col 84}{space 3} 1.659855
{txt}{space 25}yr21 {c |}{col 31}{res}{space 2} .5260105{col 43}{space 2} .3524358{col 54}{space 1}    1.49{col 63}{space 3}0.136{col 71}{space 4} -.164751{col 84}{space 3} 1.216772
{txt}{space 25}yr22 {c |}{col 31}{res}{space 2}-.5676641{col 43}{space 2} .2412472{col 54}{space 1}   -2.35{col 63}{space 3}0.019{col 71}{space 4}  -1.0405{col 84}{space 3}-.0948283
{txt}{space 25}yr23 {c |}{col 31}{res}{space 2}-1.019448{col 43}{space 2} .2366638{col 54}{space 1}   -4.31{col 63}{space 3}0.000{col 71}{space 4}  -1.4833{col 84}{space 3}-.5555953
{txt}{space 25}yr24 {c |}{col 31}{res}{space 2}-.1957949{col 43}{space 2} .1976984{col 54}{space 1}   -0.99{col 63}{space 3}0.322{col 71}{space 4}-.5832767{col 84}{space 3} .1916869
{txt}{space 25}yr25 {c |}{col 31}{res}{space 2} .4596333{col 43}{space 2} .1696163{col 54}{space 1}    2.71{col 63}{space 3}0.007{col 71}{space 4} .1271915{col 84}{space 3} .7920751
{txt}{space 25}yr26 {c |}{col 31}{res}{space 2} .3653212{col 43}{space 2} .1311527{col 54}{space 1}    2.79{col 63}{space 3}0.005{col 71}{space 4} .1082667{col 84}{space 3} .6223757
{txt}{space 25}yr27 {c |}{col 31}{res}{space 2} .3987232{col 43}{space 2} .1327828{col 54}{space 1}    3.00{col 63}{space 3}0.003{col 71}{space 4} .1384738{col 84}{space 3} .6589727
{txt}{space 25}yr28 {c |}{col 31}{res}{space 2} .4849462{col 43}{space 2}  .120526{col 54}{space 1}    4.02{col 63}{space 3}0.000{col 71}{space 4} .2487195{col 84}{space 3} .7211728
{txt}{space 25}yr29 {c |}{col 31}{res}{space 2} .3841179{col 43}{space 2} .1290775{col 54}{space 1}    2.98{col 63}{space 3}0.003{col 71}{space 4} .1311305{col 84}{space 3} .6371052
{txt}{space 25}yr30 {c |}{col 31}{res}{space 2}  .494239{col 43}{space 2} .1449454{col 54}{space 1}    3.41{col 63}{space 3}0.001{col 71}{space 4} .2101512{col 84}{space 3} .7783268
{txt}{space 25}yr31 {c |}{col 31}{res}{space 2}-.0741417{col 43}{space 2}  .137534{col 54}{space 1}   -0.54{col 63}{space 3}0.590{col 71}{space 4}-.3437035{col 84}{space 3} .1954201
{txt}{space 25}yr32 {c |}{col 31}{res}{space 2} .3659599{col 43}{space 2} .1619513{col 54}{space 1}    2.26{col 63}{space 3}0.024{col 71}{space 4} .0485412{col 84}{space 3} .6833785
{txt}{space 25}yr33 {c |}{col 31}{res}{space 2} .1577903{col 43}{space 2}  .154752{col 54}{space 1}    1.02{col 63}{space 3}0.308{col 71}{space 4}-.1455181{col 84}{space 3} .4610988
{txt}{space 25}yr34 {c |}{col 31}{res}{space 2} .1775959{col 43}{space 2} .1319805{col 54}{space 1}    1.35{col 63}{space 3}0.178{col 71}{space 4}-.0810812{col 84}{space 3} .4362729
{txt}{space 25}yr35 {c |}{col 31}{res}{space 2}-.0279681{col 43}{space 2} .1272414{col 54}{space 1}   -0.22{col 63}{space 3}0.826{col 71}{space 4}-.2773566{col 84}{space 3} .2214204
{txt}{space 25}yr36 {c |}{col 31}{res}{space 2}-.3076682{col 43}{space 2} .1142616{col 54}{space 1}   -2.69{col 63}{space 3}0.007{col 71}{space 4}-.5316168{col 84}{space 3}-.0837195
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .6361168{col 43}{space 2} .0867673{col 54}{space 1}    7.33{col 63}{space 3}0.000{col 71}{space 4}  .466056{col 84}{space 3} .8061776
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       i.Female_Bomber ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3886.1357}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3885.8597}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3885.8597}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(26)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3885.8597{txt}{col 49}Pseudo R2{col 67}= {res}    0.0254

{txt}{ralign 81:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.Female_Bomber {c |}{col 17}{res}{space 2}-.8842057{col 29}{space 2} .2737124{col 40}{space 1}   -3.23{col 49}{space 3}0.001{col 57}{space 4}-1.420672{col 70}{space 3}-.3477392
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.4353168{col 29}{space 2} .1959238{col 40}{space 1}   -2.22{col 49}{space 3}0.026{col 57}{space 4}-.8193203{col 70}{space 3}-.0513132
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-.9585285{col 29}{space 2} .1579586{col 40}{space 1}   -6.07{col 49}{space 3}0.000{col 57}{space 4}-1.268122{col 70}{space 3}-.6489352
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .7857907{col 29}{space 2} .5291348{col 40}{space 1}    1.49{col 49}{space 3}0.138{col 57}{space 4}-.2512944{col 70}{space 3} 1.822876
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.2407897{col 29}{space 2} .6840485{col 40}{space 1}   -0.35{col 49}{space 3}0.725{col 57}{space 4}  -1.5815{col 70}{space 3} 1.099921
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.1919995{col 29}{space 2}  .813275{col 40}{space 1}   -0.24{col 49}{space 3}0.813{col 57}{space 4}-1.785989{col 70}{space 3}  1.40199
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4166854{col 29}{space 2} .5027713{col 40}{space 1}    0.83{col 49}{space 3}0.407{col 57}{space 4}-.5687282{col 70}{space 3} 1.402099
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .3489265{col 29}{space 2} .8368539{col 40}{space 1}    0.42{col 49}{space 3}0.677{col 57}{space 4}-1.291277{col 70}{space 3}  1.98913
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.5284717{col 29}{space 2} .9868887{col 40}{space 1}   -0.54{col 49}{space 3}0.592{col 57}{space 4}-2.462738{col 70}{space 3} 1.405795
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .0992298{col 29}{space 2} .6056508{col 40}{space 1}    0.16{col 49}{space 3}0.870{col 57}{space 4}-1.087824{col 70}{space 3} 1.286283
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2} .7413254{col 29}{space 2} .7729216{col 40}{space 1}    0.96{col 49}{space 3}0.337{col 57}{space 4}-.7735731{col 70}{space 3} 2.256224
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5451204{col 29}{space 2} .3866794{col 40}{space 1}    1.41{col 49}{space 3}0.159{col 57}{space 4}-.2127573{col 70}{space 3} 1.302998
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2} -.616093{col 29}{space 2} .5643564{col 40}{space 1}   -1.09{col 49}{space 3}0.275{col 57}{space 4}-1.722211{col 70}{space 3} .4900253
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-1.072001{col 29}{space 2} .3124648{col 40}{space 1}   -3.43{col 49}{space 3}0.001{col 57}{space 4}-1.684421{col 70}{space 3}-.4595811
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2}-.1159554{col 29}{space 2} .6182823{col 40}{space 1}   -0.19{col 49}{space 3}0.851{col 57}{space 4}-1.327767{col 70}{space 3} 1.095856
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .4064312{col 29}{space 2} .3359271{col 40}{space 1}    1.21{col 49}{space 3}0.226{col 57}{space 4}-.2519739{col 70}{space 3} 1.064836
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .2591786{col 29}{space 2} .2577167{col 40}{space 1}    1.01{col 49}{space 3}0.315{col 57}{space 4}-.2459369{col 70}{space 3} .7642941
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .3379669{col 29}{space 2} .3752888{col 40}{space 1}    0.90{col 49}{space 3}0.368{col 57}{space 4}-.3975856{col 70}{space 3} 1.073519
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2} .4158641{col 29}{space 2} .4511192{col 40}{space 1}    0.92{col 49}{space 3}0.357{col 57}{space 4}-.4683133{col 70}{space 3} 1.300042
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2}  .322417{col 29}{space 2} .3726405{col 40}{space 1}    0.87{col 49}{space 3}0.387{col 57}{space 4}-.4079451{col 70}{space 3} 1.052779
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2}   .47241{col 29}{space 2} .4030769{col 40}{space 1}    1.17{col 49}{space 3}0.241{col 57}{space 4}-.3176063{col 70}{space 3} 1.262426
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0866262{col 29}{space 2} .3387166{col 40}{space 1}   -0.26{col 49}{space 3}0.798{col 57}{space 4}-.7504986{col 70}{space 3} .5772462
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .3767922{col 29}{space 2}  .255411{col 40}{space 1}    1.48{col 49}{space 3}0.140{col 57}{space 4}-.1238041{col 70}{space 3} .8773885
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .2155811{col 29}{space 2} .3312603{col 40}{space 1}    0.65{col 49}{space 3}0.515{col 57}{space 4}-.4336772{col 70}{space 3} .8648394
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2} .1761611{col 29}{space 2}  .283951{col 40}{space 1}    0.62{col 49}{space 3}0.535{col 57}{space 4}-.3803725{col 70}{space 3} .7326948
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0438365{col 29}{space 2} .2931184{col 40}{space 1}   -0.15{col 49}{space 3}0.881{col 57}{space 4}-.6183381{col 70}{space 3} .5306651
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.3459535{col 29}{space 2} .4155019{col 40}{space 1}   -0.83{col 49}{space 3}0.405{col 57}{space 4}-1.160322{col 70}{space 3} .4684154
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .5284717{col 29}{space 2} .1336162{col 40}{space 1}    3.96{col 49}{space 3}0.000{col 57}{space 4} .2665888{col 70}{space 3} .7903547
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3895.4829}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3895.2131}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3895.2131}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(26)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3895.2131{txt}{col 49}Pseudo R2{col 67}= {res}    0.0231

{txt}{ralign 81:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
Media_Attention {c |}{col 17}{res}{space 2}-.1466691{col 29}{space 2} .1140939{col 40}{space 1}   -1.29{col 49}{space 3}0.199{col 57}{space 4} -.370289{col 70}{space 3} .0769508
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.5096332{col 29}{space 2} .2391786{col 40}{space 1}   -2.13{col 49}{space 3}0.033{col 57}{space 4}-.9784146{col 70}{space 3}-.0408519
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-1.125566{col 29}{space 2} .2027518{col 40}{space 1}   -5.55{col 49}{space 3}0.000{col 57}{space 4}-1.522952{col 70}{space 3}-.7281797
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .2538994{col 29}{space 2} .7407936{col 40}{space 1}    0.34{col 49}{space 3}0.732{col 57}{space 4}-1.198029{col 70}{space 3} 1.705828
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.1780558{col 29}{space 2} .6948381{col 40}{space 1}   -0.26{col 49}{space 3}0.798{col 57}{space 4}-1.539913{col 70}{space 3} 1.183802
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.0640621{col 29}{space 2} .7992207{col 40}{space 1}   -0.08{col 49}{space 3}0.936{col 57}{space 4}-1.630506{col 70}{space 3} 1.502382
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4628532{col 29}{space 2} .4933034{col 40}{space 1}    0.94{col 49}{space 3}0.348{col 57}{space 4}-.5040038{col 70}{space 3}  1.42971
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .2371925{col 29}{space 2}  .761327{col 40}{space 1}    0.31{col 49}{space 3}0.755{col 57}{space 4}-1.254981{col 70}{space 3} 1.729366
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.4062103{col 29}{space 2}  .967089{col 40}{space 1}   -0.42{col 49}{space 3}0.674{col 57}{space 4} -2.30167{col 70}{space 3} 1.489249
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .0481322{col 29}{space 2} .6096564{col 40}{space 1}    0.08{col 49}{space 3}0.937{col 57}{space 4}-1.146772{col 70}{space 3} 1.243037
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2} .5477079{col 29}{space 2} .7815398{col 40}{space 1}    0.70{col 49}{space 3}0.483{col 57}{space 4} -.984082{col 70}{space 3} 2.079498
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5040809{col 29}{space 2} .4025988{col 40}{space 1}    1.25{col 49}{space 3}0.211{col 57}{space 4}-.2849983{col 70}{space 3}  1.29316
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2}-.5520626{col 29}{space 2} .5461429{col 40}{space 1}   -1.01{col 49}{space 3}0.312{col 57}{space 4}-1.622483{col 70}{space 3} .5183578
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-.9774951{col 29}{space 2} .3179495{col 40}{space 1}   -3.07{col 49}{space 3}0.002{col 57}{space 4}-1.600665{col 70}{space 3}-.3543256
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2} -.183102{col 29}{space 2} .5183885{col 40}{space 1}   -0.35{col 49}{space 3}0.724{col 57}{space 4}-1.199125{col 70}{space 3} .8329208
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .5204327{col 29}{space 2}  .332109{col 40}{space 1}    1.57{col 49}{space 3}0.117{col 57}{space 4} -.130489{col 70}{space 3} 1.171354
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .4239822{col 29}{space 2} .2149349{col 40}{space 1}    1.97{col 49}{space 3}0.049{col 57}{space 4} .0027176{col 70}{space 3} .8452468
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .4577938{col 29}{space 2} .4090863{col 40}{space 1}    1.12{col 49}{space 3}0.263{col 57}{space 4}-.3440007{col 70}{space 3} 1.259588
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2}  .530684{col 29}{space 2} .5004202{col 40}{space 1}    1.06{col 49}{space 3}0.289{col 57}{space 4}-.4501215{col 70}{space 3}  1.51149
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2} .3492956{col 29}{space 2} .4430839{col 40}{space 1}    0.79{col 49}{space 3}0.431{col 57}{space 4}-.5191328{col 70}{space 3} 1.217724
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2} .5175264{col 29}{space 2} .4395259{col 40}{space 1}    1.18{col 49}{space 3}0.239{col 57}{space 4}-.3439285{col 70}{space 3} 1.378981
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0301221{col 29}{space 2} .3596915{col 40}{space 1}   -0.08{col 49}{space 3}0.933{col 57}{space 4}-.7351045{col 70}{space 3} .6748603
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .4117686{col 29}{space 2} .2795259{col 40}{space 1}    1.47{col 49}{space 3}0.141{col 57}{space 4}-.1360921{col 70}{space 3} .9596293
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .1865831{col 29}{space 2} .3429226{col 40}{space 1}    0.54{col 49}{space 3}0.586{col 57}{space 4}-.4855329{col 70}{space 3} .8586991
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2} .2243186{col 29}{space 2} .3072199{col 40}{space 1}    0.73{col 49}{space 3}0.465{col 57}{space 4}-.3778213{col 70}{space 3} .8264584
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0129827{col 29}{space 2} .3144974{col 40}{space 1}   -0.04{col 49}{space 3}0.967{col 57}{space 4}-.6293862{col 70}{space 3} .6034208
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.4025947{col 29}{space 2} .4210314{col 40}{space 1}   -0.96{col 49}{space 3}0.339{col 57}{space 4}-1.227801{col 70}{space 3} .4226118
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6188353{col 29}{space 2} .2456552{col 40}{space 1}    2.52{col 49}{space 3}0.012{col 57}{space 4}   .13736{col 70}{space 3} 1.100311
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       i.Female_Bomber Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res:-3872.2415}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3871.9349}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3871.9348}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(27)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3871.9348{txt}{col 49}Pseudo R2{col 67}= {res}    0.0289

{txt}{ralign 81:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 16}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 17}{c |}{col 29}    Robust
{col 1}    Hard_Target{col 17}{c |}      Coef.{col 29}   Std. Err.{col 41}      z{col 49}   P>|z|{col 57}     [95% Con{col 70}f. Interval]
{hline 16}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
1.Female_Bomber {c |}{col 17}{res}{space 2}-.8499655{col 29}{space 2} .2503382{col 40}{space 1}   -3.40{col 49}{space 3}0.001{col 57}{space 4}-1.340619{col 70}{space 3}-.3593116
{txt}Media_Attention {c |}{col 17}{res}{space 2}-.1365808{col 29}{space 2} .1069313{col 40}{space 1}   -1.28{col 49}{space 3}0.202{col 57}{space 4}-.3461623{col 70}{space 3} .0730007
{txt}{space 12}yr6 {c |}{col 17}{res}{space 2}-.4134958{col 29}{space 2} .2200897{col 40}{space 1}   -1.88{col 49}{space 3}0.060{col 57}{space 4}-.8448637{col 70}{space 3} .0178721
{txt}{space 12}yr7 {c |}{col 17}{res}{space 2}-.9245249{col 29}{space 2} .1875308{col 40}{space 1}   -4.93{col 49}{space 3}0.000{col 57}{space 4}-1.292079{col 70}{space 3}-.5569713
{txt}{space 12}yr8 {c |}{col 17}{res}{space 2} .7984028{col 29}{space 2} .5290079{col 40}{space 1}    1.51{col 49}{space 3}0.131{col 57}{space 4}-.2384337{col 70}{space 3} 1.835239
{txt}{space 11}yr14 {c |}{col 17}{res}{space 2}-.2290846{col 29}{space 2} .6874112{col 40}{space 1}   -0.33{col 49}{space 3}0.739{col 57}{space 4}-1.576386{col 70}{space 3} 1.118217
{txt}{space 11}yr15 {c |}{col 17}{res}{space 2}-.1193954{col 29}{space 2} .7955901{col 40}{space 1}   -0.15{col 49}{space 3}0.881{col 57}{space 4}-1.678723{col 70}{space 3} 1.439932
{txt}{space 11}yr16 {c |}{col 17}{res}{space 2} .4387308{col 29}{space 2} .5027414{col 40}{space 1}    0.87{col 49}{space 3}0.383{col 57}{space 4}-.5466243{col 70}{space 3} 1.424086
{txt}{space 11}yr17 {c |}{col 17}{res}{space 2} .3611008{col 29}{space 2} .8265669{col 40}{space 1}    0.44{col 49}{space 3}0.662{col 57}{space 4}-1.258941{col 70}{space 3} 1.981142
{txt}{space 11}yr18 {c |}{col 17}{res}{space 2}-.4611401{col 29}{space 2} .9642527{col 40}{space 1}   -0.48{col 49}{space 3}0.632{col 57}{space 4}-2.351041{col 70}{space 3} 1.428761
{txt}{space 11}yr19 {c |}{col 17}{res}{space 2} .1091008{col 29}{space 2} .6179865{col 40}{space 1}    0.18{col 49}{space 3}0.860{col 57}{space 4} -1.10213{col 70}{space 3} 1.320332
{txt}{space 11}yr20 {c |}{col 17}{res}{space 2}  .755211{col 29}{space 2} .7965733{col 40}{space 1}    0.95{col 49}{space 3}0.343{col 57}{space 4}-.8060439{col 70}{space 3} 2.316466
{txt}{space 11}yr21 {c |}{col 17}{res}{space 2} .5429625{col 29}{space 2} .3924718{col 40}{space 1}    1.38{col 49}{space 3}0.167{col 57}{space 4} -.226268{col 70}{space 3} 1.312193
{txt}{space 11}yr22 {c |}{col 17}{res}{space 2}-.5655352{col 29}{space 2} .5543165{col 40}{space 1}   -1.02{col 49}{space 3}0.308{col 57}{space 4}-1.651976{col 70}{space 3} .5209052
{txt}{space 11}yr23 {c |}{col 17}{res}{space 2}-.9988871{col 29}{space 2} .3213079{col 40}{space 1}   -3.11{col 49}{space 3}0.002{col 57}{space 4}-1.628639{col 70}{space 3}-.3691353
{txt}{space 11}yr24 {c |}{col 17}{res}{space 2}-.1472279{col 29}{space 2} .5496171{col 40}{space 1}   -0.27{col 49}{space 3}0.789{col 57}{space 4}-1.224458{col 70}{space 3} .9300018
{txt}{space 11}yr25 {c |}{col 17}{res}{space 2} .4911793{col 29}{space 2} .3205787{col 40}{space 1}    1.53{col 49}{space 3}0.125{col 57}{space 4}-.1371434{col 70}{space 3} 1.119502
{txt}{space 11}yr26 {c |}{col 17}{res}{space 2} .3789829{col 29}{space 2} .2136787{col 40}{space 1}    1.77{col 49}{space 3}0.076{col 57}{space 4}-.0398196{col 70}{space 3} .7977855
{txt}{space 11}yr27 {c |}{col 17}{res}{space 2} .4109788{col 29}{space 2}  .397684{col 40}{space 1}    1.03{col 49}{space 3}0.301{col 57}{space 4}-.3684675{col 70}{space 3} 1.190425
{txt}{space 11}yr28 {c |}{col 17}{res}{space 2} .4950034{col 29}{space 2} .4822508{col 40}{space 1}    1.03{col 49}{space 3}0.305{col 57}{space 4}-.4501908{col 70}{space 3} 1.440198
{txt}{space 11}yr29 {c |}{col 17}{res}{space 2} .3740457{col 29}{space 2} .3949815{col 40}{space 1}    0.95{col 49}{space 3}0.344{col 57}{space 4}-.4001039{col 70}{space 3} 1.148195
{txt}{space 11}yr30 {c |}{col 17}{res}{space 2} .5000295{col 29}{space 2} .4194194{col 40}{space 1}    1.19{col 49}{space 3}0.233{col 57}{space 4}-.3220174{col 70}{space 3} 1.322076
{txt}{space 11}yr31 {c |}{col 17}{res}{space 2}-.0614731{col 29}{space 2} .3500047{col 40}{space 1}   -0.18{col 49}{space 3}0.861{col 57}{space 4}-.7474697{col 70}{space 3} .6245236
{txt}{space 11}yr32 {c |}{col 17}{res}{space 2} .3868182{col 29}{space 2} .2715778{col 40}{space 1}    1.42{col 49}{space 3}0.154{col 57}{space 4}-.1454644{col 70}{space 3} .9191009
{txt}{space 11}yr33 {c |}{col 17}{res}{space 2} .1513835{col 29}{space 2} .3526568{col 40}{space 1}    0.43{col 49}{space 3}0.668{col 57}{space 4}-.5398112{col 70}{space 3} .8425782
{txt}{space 11}yr34 {c |}{col 17}{res}{space 2}  .184073{col 29}{space 2} .2959639{col 40}{space 1}    0.62{col 49}{space 3}0.534{col 57}{space 4}-.3960057{col 70}{space 3} .7641516
{txt}{space 11}yr35 {c |}{col 17}{res}{space 2}-.0327742{col 29}{space 2} .3077983{col 40}{space 1}   -0.11{col 49}{space 3}0.915{col 57}{space 4}-.6360478{col 70}{space 3} .5704993
{txt}{space 11}yr36 {c |}{col 17}{res}{space 2}-.3333458{col 29}{space 2} .3993191{col 40}{space 1}   -0.83{col 49}{space 3}0.404{col 57}{space 4}-1.115997{col 70}{space 3} .4493053
{txt}{space 10}_cons {c |}{col 17}{res}{space 2} .6591401{col 29}{space 2} .2441369{col 40}{space 1}    2.70{col 49}{space 3}0.007{col 57}{space 4} .1806405{col 70}{space 3}  1.13764
{txt}{hline 16}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit Hard_Target       i.Female_Bomber Media_Attention Female_Bomber_Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3865.158}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3864.8893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3864.8893}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(28)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3864.8893{txt}{col 49}Pseudo R2{col 67}= {res}    0.0307

{txt}{ralign 95:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  Hard_Target{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.Female_Bomber {c |}{col 31}{res}{space 2} -.205498{col 43}{space 2} .2505736{col 54}{space 1}   -0.82{col 63}{space 3}0.412{col 71}{space 4}-.6966132{col 84}{space 3} .2856172
{txt}{space 14}Media_Attention {c |}{col 31}{res}{space 2}-.1142199{col 43}{space 2} .1024267{col 54}{space 1}   -1.12{col 63}{space 3}0.265{col 71}{space 4}-.3149726{col 84}{space 3} .0865327
{txt}Female_Bomber_Media_Attention {c |}{col 31}{res}{space 2}-.4711586{col 43}{space 2} .1031762{col 54}{space 1}   -4.57{col 63}{space 3}0.000{col 71}{space 4}-.6733802{col 84}{space 3}-.2689369
{txt}{space 26}yr6 {c |}{col 31}{res}{space 2}-.4238521{col 43}{space 2} .2163043{col 54}{space 1}   -1.96{col 63}{space 3}0.050{col 71}{space 4}-.8478006{col 84}{space 3} .0000964
{txt}{space 26}yr7 {c |}{col 31}{res}{space 2}-.9419789{col 43}{space 2} .1831128{col 54}{space 1}   -5.14{col 63}{space 3}0.000{col 71}{space 4}-1.300873{col 84}{space 3}-.5830845
{txt}{space 26}yr8 {c |}{col 31}{res}{space 2} .7601856{col 43}{space 2} .5377788{col 54}{space 1}    1.41{col 63}{space 3}0.157{col 71}{space 4}-.2938415{col 84}{space 3} 1.814213
{txt}{space 25}yr14 {c |}{col 31}{res}{space 2}-.2297165{col 43}{space 2} .6830089{col 54}{space 1}   -0.34{col 63}{space 3}0.737{col 71}{space 4}-1.568389{col 84}{space 3} 1.108956
{txt}{space 25}yr15 {c |}{col 31}{res}{space 2}-.1296762{col 43}{space 2} .7956113{col 54}{space 1}   -0.16{col 63}{space 3}0.871{col 71}{space 4}-1.689046{col 84}{space 3} 1.429693
{txt}{space 25}yr16 {c |}{col 31}{res}{space 2} .4324112{col 43}{space 2} .4984687{col 54}{space 1}    0.87{col 63}{space 3}0.386{col 71}{space 4}-.5445695{col 84}{space 3} 1.409392
{txt}{space 25}yr17 {c |}{col 31}{res}{space 2} .3076314{col 43}{space 2} .8111374{col 54}{space 1}    0.38{col 63}{space 3}0.704{col 71}{space 4}-1.282169{col 84}{space 3} 1.897431
{txt}{space 25}yr18 {c |}{col 31}{res}{space 2}-.4705333{col 43}{space 2} .9652701{col 54}{space 1}   -0.49{col 63}{space 3}0.626{col 71}{space 4}-2.362428{col 84}{space 3} 1.421361
{txt}{space 25}yr19 {c |}{col 31}{res}{space 2} .0758861{col 43}{space 2} .6168664{col 54}{space 1}    0.12{col 63}{space 3}0.902{col 71}{space 4} -1.13315{col 84}{space 3} 1.284922
{txt}{space 25}yr20 {c |}{col 31}{res}{space 2} .7122974{col 43}{space 2} .7941256{col 54}{space 1}    0.90{col 63}{space 3}0.370{col 71}{space 4}-.8441602{col 84}{space 3} 2.268755
{txt}{space 25}yr21 {c |}{col 31}{res}{space 2} .5260105{col 43}{space 2} .3884453{col 54}{space 1}    1.35{col 63}{space 3}0.176{col 71}{space 4}-.2353283{col 84}{space 3} 1.287349
{txt}{space 25}yr22 {c |}{col 31}{res}{space 2}-.5676641{col 43}{space 2} .5557994{col 54}{space 1}   -1.02{col 63}{space 3}0.307{col 71}{space 4}-1.657011{col 84}{space 3} .5216827
{txt}{space 25}yr23 {c |}{col 31}{res}{space 2}-1.019448{col 43}{space 2} .3050627{col 54}{space 1}   -3.34{col 63}{space 3}0.001{col 71}{space 4} -1.61736{col 84}{space 3} -.421536
{txt}{space 25}yr24 {c |}{col 31}{res}{space 2}-.1957949{col 43}{space 2}  .547829{col 54}{space 1}   -0.36{col 63}{space 3}0.721{col 71}{space 4} -1.26952{col 84}{space 3} .8779303
{txt}{space 25}yr25 {c |}{col 31}{res}{space 2} .4596333{col 43}{space 2}  .333113{col 54}{space 1}    1.38{col 63}{space 3}0.168{col 71}{space 4}-.1932562{col 84}{space 3} 1.112523
{txt}{space 25}yr26 {c |}{col 31}{res}{space 2} .3653212{col 43}{space 2} .2206935{col 54}{space 1}    1.66{col 63}{space 3}0.098{col 71}{space 4}  -.06723{col 84}{space 3} .7978724
{txt}{space 25}yr27 {c |}{col 31}{res}{space 2} .3987232{col 43}{space 2} .3930007{col 54}{space 1}    1.01{col 63}{space 3}0.310{col 71}{space 4}-.3715439{col 84}{space 3}  1.16899
{txt}{space 25}yr28 {c |}{col 31}{res}{space 2} .4849462{col 43}{space 2} .4747523{col 54}{space 1}    1.02{col 63}{space 3}0.307{col 71}{space 4}-.4455512{col 84}{space 3} 1.415443
{txt}{space 25}yr29 {c |}{col 31}{res}{space 2} .3841179{col 43}{space 2} .3820004{col 54}{space 1}    1.01{col 63}{space 3}0.315{col 71}{space 4}-.3645891{col 84}{space 3} 1.132825
{txt}{space 25}yr30 {c |}{col 31}{res}{space 2}  .494239{col 43}{space 2} .4134762{col 54}{space 1}    1.20{col 63}{space 3}0.232{col 71}{space 4}-.3161595{col 84}{space 3} 1.304638
{txt}{space 25}yr31 {c |}{col 31}{res}{space 2}-.0741417{col 43}{space 2}  .345389{col 54}{space 1}   -0.21{col 63}{space 3}0.830{col 71}{space 4}-.7510917{col 84}{space 3} .6028083
{txt}{space 25}yr32 {c |}{col 31}{res}{space 2} .3659599{col 43}{space 2} .2591364{col 54}{space 1}    1.41{col 63}{space 3}0.158{col 71}{space 4}-.1419382{col 84}{space 3} .8738579
{txt}{space 25}yr33 {c |}{col 31}{res}{space 2} .1577903{col 43}{space 2} .3551007{col 54}{space 1}    0.44{col 63}{space 3}0.657{col 71}{space 4}-.5381941{col 84}{space 3} .8537748
{txt}{space 25}yr34 {c |}{col 31}{res}{space 2} .1775959{col 43}{space 2} .2930525{col 54}{space 1}    0.61{col 63}{space 3}0.545{col 71}{space 4}-.3967764{col 84}{space 3} .7519681
{txt}{space 25}yr35 {c |}{col 31}{res}{space 2}-.0279681{col 43}{space 2}   .30563{col 54}{space 1}   -0.09{col 63}{space 3}0.927{col 71}{space 4} -.626992{col 84}{space 3} .5710557
{txt}{space 25}yr36 {c |}{col 31}{res}{space 2}-.3076682{col 43}{space 2} .3959077{col 54}{space 1}   -0.78{col 63}{space 3}0.437{col 71}{space 4}-1.083633{col 84}{space 3} .4682966
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .6361168{col 43}{space 2} .2315401{col 54}{space 1}    2.75{col 63}{space 3}0.006{col 71}{space 4} .1823065{col 84}{space 3} 1.089927
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
. 
. 
. 
. ***** Appendix Figure 1 *****
. 
. logit Hard_Target       i.Female_Bomber Media_Attention Female_Bomber_Media_Attention ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 yr7 yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-3987.2715}  
Iteration 1:{space 3}log pseudolikelihood = {res: -3865.158}  
Iteration 2:{space 3}log pseudolikelihood = {res:-3864.8893}  
Iteration 3:{space 3}log pseudolikelihood = {res:-3864.8893}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     6,127
{txt}{col 49}{help j_robustsingular##|_new:Wald chi2(28)}{col 67}=          {res}.
{txt}{col 49}Prob > chi2{col 67}=          {res}.
{txt}Log pseudolikelihood = {res}-3864.8893{txt}{col 49}Pseudo R2{col 67}= {res}    0.0307

{txt}{ralign 95:(Std. Err. adjusted for {res:59} clusters in ccode)}
{hline 30}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 31}{c |}{col 43}    Robust
{col 1}                  Hard_Target{col 31}{c |}      Coef.{col 43}   Std. Err.{col 55}      z{col 63}   P>|z|{col 71}     [95% Con{col 84}f. Interval]
{hline 30}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}1.Female_Bomber {c |}{col 31}{res}{space 2} -.205498{col 43}{space 2} .2505736{col 54}{space 1}   -0.82{col 63}{space 3}0.412{col 71}{space 4}-.6966132{col 84}{space 3} .2856172
{txt}{space 14}Media_Attention {c |}{col 31}{res}{space 2}-.1142199{col 43}{space 2} .1024267{col 54}{space 1}   -1.12{col 63}{space 3}0.265{col 71}{space 4}-.3149726{col 84}{space 3} .0865327
{txt}Female_Bomber_Media_Attention {c |}{col 31}{res}{space 2}-.4711586{col 43}{space 2} .1031762{col 54}{space 1}   -4.57{col 63}{space 3}0.000{col 71}{space 4}-.6733802{col 84}{space 3}-.2689369
{txt}{space 26}yr6 {c |}{col 31}{res}{space 2}-.4238521{col 43}{space 2} .2163043{col 54}{space 1}   -1.96{col 63}{space 3}0.050{col 71}{space 4}-.8478006{col 84}{space 3} .0000964
{txt}{space 26}yr7 {c |}{col 31}{res}{space 2}-.9419789{col 43}{space 2} .1831128{col 54}{space 1}   -5.14{col 63}{space 3}0.000{col 71}{space 4}-1.300873{col 84}{space 3}-.5830845
{txt}{space 26}yr8 {c |}{col 31}{res}{space 2} .7601856{col 43}{space 2} .5377788{col 54}{space 1}    1.41{col 63}{space 3}0.157{col 71}{space 4}-.2938415{col 84}{space 3} 1.814213
{txt}{space 25}yr14 {c |}{col 31}{res}{space 2}-.2297165{col 43}{space 2} .6830089{col 54}{space 1}   -0.34{col 63}{space 3}0.737{col 71}{space 4}-1.568389{col 84}{space 3} 1.108956
{txt}{space 25}yr15 {c |}{col 31}{res}{space 2}-.1296762{col 43}{space 2} .7956113{col 54}{space 1}   -0.16{col 63}{space 3}0.871{col 71}{space 4}-1.689046{col 84}{space 3} 1.429693
{txt}{space 25}yr16 {c |}{col 31}{res}{space 2} .4324112{col 43}{space 2} .4984687{col 54}{space 1}    0.87{col 63}{space 3}0.386{col 71}{space 4}-.5445695{col 84}{space 3} 1.409392
{txt}{space 25}yr17 {c |}{col 31}{res}{space 2} .3076314{col 43}{space 2} .8111374{col 54}{space 1}    0.38{col 63}{space 3}0.704{col 71}{space 4}-1.282169{col 84}{space 3} 1.897431
{txt}{space 25}yr18 {c |}{col 31}{res}{space 2}-.4705333{col 43}{space 2} .9652701{col 54}{space 1}   -0.49{col 63}{space 3}0.626{col 71}{space 4}-2.362428{col 84}{space 3} 1.421361
{txt}{space 25}yr19 {c |}{col 31}{res}{space 2} .0758861{col 43}{space 2} .6168664{col 54}{space 1}    0.12{col 63}{space 3}0.902{col 71}{space 4} -1.13315{col 84}{space 3} 1.284922
{txt}{space 25}yr20 {c |}{col 31}{res}{space 2} .7122974{col 43}{space 2} .7941256{col 54}{space 1}    0.90{col 63}{space 3}0.370{col 71}{space 4}-.8441602{col 84}{space 3} 2.268755
{txt}{space 25}yr21 {c |}{col 31}{res}{space 2} .5260105{col 43}{space 2} .3884453{col 54}{space 1}    1.35{col 63}{space 3}0.176{col 71}{space 4}-.2353283{col 84}{space 3} 1.287349
{txt}{space 25}yr22 {c |}{col 31}{res}{space 2}-.5676641{col 43}{space 2} .5557994{col 54}{space 1}   -1.02{col 63}{space 3}0.307{col 71}{space 4}-1.657011{col 84}{space 3} .5216827
{txt}{space 25}yr23 {c |}{col 31}{res}{space 2}-1.019448{col 43}{space 2} .3050627{col 54}{space 1}   -3.34{col 63}{space 3}0.001{col 71}{space 4} -1.61736{col 84}{space 3} -.421536
{txt}{space 25}yr24 {c |}{col 31}{res}{space 2}-.1957949{col 43}{space 2}  .547829{col 54}{space 1}   -0.36{col 63}{space 3}0.721{col 71}{space 4} -1.26952{col 84}{space 3} .8779303
{txt}{space 25}yr25 {c |}{col 31}{res}{space 2} .4596333{col 43}{space 2}  .333113{col 54}{space 1}    1.38{col 63}{space 3}0.168{col 71}{space 4}-.1932562{col 84}{space 3} 1.112523
{txt}{space 25}yr26 {c |}{col 31}{res}{space 2} .3653212{col 43}{space 2} .2206935{col 54}{space 1}    1.66{col 63}{space 3}0.098{col 71}{space 4}  -.06723{col 84}{space 3} .7978724
{txt}{space 25}yr27 {c |}{col 31}{res}{space 2} .3987232{col 43}{space 2} .3930007{col 54}{space 1}    1.01{col 63}{space 3}0.310{col 71}{space 4}-.3715439{col 84}{space 3}  1.16899
{txt}{space 25}yr28 {c |}{col 31}{res}{space 2} .4849462{col 43}{space 2} .4747523{col 54}{space 1}    1.02{col 63}{space 3}0.307{col 71}{space 4}-.4455512{col 84}{space 3} 1.415443
{txt}{space 25}yr29 {c |}{col 31}{res}{space 2} .3841179{col 43}{space 2} .3820004{col 54}{space 1}    1.01{col 63}{space 3}0.315{col 71}{space 4}-.3645891{col 84}{space 3} 1.132825
{txt}{space 25}yr30 {c |}{col 31}{res}{space 2}  .494239{col 43}{space 2} .4134762{col 54}{space 1}    1.20{col 63}{space 3}0.232{col 71}{space 4}-.3161595{col 84}{space 3} 1.304638
{txt}{space 25}yr31 {c |}{col 31}{res}{space 2}-.0741417{col 43}{space 2}  .345389{col 54}{space 1}   -0.21{col 63}{space 3}0.830{col 71}{space 4}-.7510917{col 84}{space 3} .6028083
{txt}{space 25}yr32 {c |}{col 31}{res}{space 2} .3659599{col 43}{space 2} .2591364{col 54}{space 1}    1.41{col 63}{space 3}0.158{col 71}{space 4}-.1419382{col 84}{space 3} .8738579
{txt}{space 25}yr33 {c |}{col 31}{res}{space 2} .1577903{col 43}{space 2} .3551007{col 54}{space 1}    0.44{col 63}{space 3}0.657{col 71}{space 4}-.5381941{col 84}{space 3} .8537748
{txt}{space 25}yr34 {c |}{col 31}{res}{space 2} .1775959{col 43}{space 2} .2930525{col 54}{space 1}    0.61{col 63}{space 3}0.545{col 71}{space 4}-.3967764{col 84}{space 3} .7519681
{txt}{space 25}yr35 {c |}{col 31}{res}{space 2}-.0279681{col 43}{space 2}   .30563{col 54}{space 1}   -0.09{col 63}{space 3}0.927{col 71}{space 4} -.626992{col 84}{space 3} .5710557
{txt}{space 25}yr36 {c |}{col 31}{res}{space 2}-.3076682{col 43}{space 2} .3959077{col 54}{space 1}   -0.78{col 63}{space 3}0.437{col 71}{space 4}-1.083633{col 84}{space 3} .4682966
{txt}{space 24}_cons {c |}{col 31}{res}{space 2} .6361168{col 43}{space 2} .2315401{col 54}{space 1}    2.75{col 63}{space 3}0.006{col 71}{space 4} .1823065{col 84}{space 3} 1.089927
{txt}{hline 30}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. margins, dydx(Female_Bomber) at(Media_Attention = (-2.531 (1.0) 2.539))
{res}
{txt}Average marginal effects{col 49}Number of obs{col 67}= {res}     6,127
{txt}Model VCE{col 14}: {res}Robust

{txt}{p2colset 1 14 16 2}{...}
{p2col:Expression}:{space 1}{res:Pr(Hard_Target), predict()}{p_end}
{p2colreset}{...}
{txt}{p2colset 1 14 16 2}{...}
{p2col:dy/dx w.r.t.}:{space 1}{res:1.Female_Bomber}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:1._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 5}-2.531}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:2._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 5}-1.531}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:3._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 6}-.531}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:4._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 7}.469}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:5._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 6}1.469}{p_end}
{p2colreset}{...}

{txt}{p2colset 1 14 16 2}{...}
{p2col:6._at}:{space 1}{res:{txt:Media_Atte~n}{space 4}{txt:=} {space 6}2.469}{p_end}
{p2colreset}{...}

{res}{txt}{hline 17}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 18}{c |}{col 30} Delta-method
{col 18}{c |}      dy/dx{col 30}   Std. Err.{col 42}      z{col 50}   P>|z|{col 58}     [95% Con{col 71}f. Interval]
{hline 17}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{res}1.Female_Bomber  {txt}{c |}
{space 13}_at {c |}
{space 14}1  {c |}{col 18}{res}{space 2}-.0405029{col 30}{space 2} .0494576{col 41}{space 1}   -0.82{col 50}{space 3}0.413{col 58}{space 4} -.137438{col 71}{space 3} .0564322
{txt}{space 14}2  {c |}{col 18}{res}{space 2}-.0423386{col 30}{space 2} .0518859{col 41}{space 1}   -0.82{col 50}{space 3}0.415{col 58}{space 4}-.1440331{col 71}{space 3} .0593558
{txt}{space 14}3  {c |}{col 18}{res}{space 2}-.0440349{col 30}{space 2} .0541843{col 41}{space 1}   -0.81{col 50}{space 3}0.416{col 58}{space 4}-.1502342{col 71}{space 3} .0621644
{txt}{space 14}4  {c |}{col 18}{res}{space 2}  -.04556{col 30}{space 2} .0562664{col 41}{space 1}   -0.81{col 50}{space 3}0.418{col 58}{space 4}  -.15584{col 71}{space 3} .0647201
{txt}{space 14}5  {c |}{col 18}{res}{space 2}-.0468835{col 30}{space 2} .0580475{col 41}{space 1}   -0.81{col 50}{space 3}0.419{col 58}{space 4}-.1606545{col 71}{space 3} .0668875
{txt}{space 14}6  {c |}{col 18}{res}{space 2}-.0479776{col 30}{space 2} .0594516{col 41}{space 1}   -0.81{col 50}{space 3}0.420{col 58}{space 4}-.1645007{col 71}{space 3} .0685455
{txt}{hline 17}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{p 0 6 0 82}Note: dy/dx for factor levels is the discrete change from the base level.{txt}{p_end}
{res}{txt}
{com}. marginsplot, yline(0)

{text}{p 2 6 2}Variables that uniquely identify margins: Media_Attention{p_end}
{res}{txt}
{com}. 
. 
. 
. 
. ***** Appendix 4 *****
. drop if female_missing_dropped == 1
{txt}(2,691 observations deleted)

{com}. 
. logit hardtarget       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2238.0745}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2237.6977}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2237.6965}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2237.6965}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}    136.29
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2237.6965{txt}{col 49}Pseudo R2{col 67}= {res}    0.0333

{txt}{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  hardtarget{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}{col 14}{res}{space 2}-1.070647{col 26}{space 2} .1823128{col 37}{space 1}   -5.87{col 46}{space 3}0.000{col 54}{space 4}-1.427973{col 67}{space 3}-.7133202
{txt}{space 9}yr6 {c |}{col 14}{res}{space 2} .1720008{col 26}{space 2} .5042038{col 37}{space 1}    0.34{col 46}{space 3}0.733{col 54}{space 4}-.8162206{col 67}{space 3} 1.160222
{txt}{space 9}yr8 {c |}{col 14}{res}{space 2}  1.28538{col 26}{space 2} 1.180736{col 37}{space 1}    1.09{col 46}{space 3}0.276{col 54}{space 4} -1.02882{col 67}{space 3} 3.599579
{txt}{space 8}yr14 {c |}{col 14}{res}{space 2} .9299551{col 26}{space 2} 1.160602{col 37}{space 1}    0.80{col 46}{space 3}0.423{col 54}{space 4}-1.344784{col 67}{space 3} 3.204694
{txt}{space 8}yr15 {c |}{col 14}{res}{space 2}-.1686572{col 26}{space 2} .7165347{col 37}{space 1}   -0.24{col 46}{space 3}0.814{col 54}{space 4}-1.573039{col 67}{space 3} 1.235725
{txt}{space 8}yr16 {c |}{col 14}{res}{space 2} .0544863{col 26}{space 2} .4882027{col 37}{space 1}    0.11{col 46}{space 3}0.911{col 54}{space 4}-.9023734{col 67}{space 3} 1.011346
{txt}{space 8}yr17 {c |}{col 14}{res}{space 2}   .44425{col 26}{space 2} .7082318{col 37}{space 1}    0.63{col 46}{space 3}0.530{col 54}{space 4}-.9438589{col 67}{space 3} 1.832359
{txt}{space 8}yr18 {c |}{col 14}{res}{space 2}-.4563393{col 26}{space 2} .7725151{col 37}{space 1}   -0.59{col 46}{space 3}0.555{col 54}{space 4}-1.970441{col 67}{space 3} 1.057762
{txt}{space 8}yr19 {c |}{col 14}{res}{space 2} .6227087{col 26}{space 2} .6635545{col 37}{space 1}    0.94{col 46}{space 3}0.348{col 54}{space 4}-.6778343{col 67}{space 3} 1.923252
{txt}{space 8}yr20 {c |}{col 14}{res}{space 2} .9187877{col 26}{space 2} .8707923{col 37}{space 1}    1.06{col 46}{space 3}0.291{col 54}{space 4}-.7879338{col 67}{space 3} 2.625509
{txt}{space 8}yr21 {c |}{col 14}{res}{space 2} 1.381114{col 26}{space 2} .5248636{col 37}{space 1}    2.63{col 46}{space 3}0.009{col 54}{space 4} .3524006{col 67}{space 3} 2.409828
{txt}{space 8}yr22 {c |}{col 14}{res}{space 2}-.0117219{col 26}{space 2} .3707087{col 37}{space 1}   -0.03{col 46}{space 3}0.975{col 54}{space 4}-.7382976{col 67}{space 3} .7148539
{txt}{space 8}yr23 {c |}{col 14}{res}{space 2}-2.024955{col 26}{space 2} .4945642{col 37}{space 1}   -4.09{col 46}{space 3}0.000{col 54}{space 4}-2.994283{col 67}{space 3}-1.055627
{txt}{space 8}yr24 {c |}{col 14}{res}{space 2} .2877659{col 26}{space 2} .2872367{col 37}{space 1}    1.00{col 46}{space 3}0.316{col 54}{space 4}-.2752078{col 67}{space 3} .8507395
{txt}{space 8}yr25 {c |}{col 14}{res}{space 2}  .742004{col 26}{space 2}  .217329{col 37}{space 1}    3.41{col 46}{space 3}0.001{col 54}{space 4} .3160469{col 67}{space 3} 1.167961
{txt}{space 8}yr26 {c |}{col 14}{res}{space 2} .5784069{col 26}{space 2} .1707187{col 37}{space 1}    3.39{col 46}{space 3}0.001{col 54}{space 4} .2438044{col 67}{space 3} .9130093
{txt}{space 8}yr27 {c |}{col 14}{res}{space 2} .2592126{col 26}{space 2} .1766456{col 37}{space 1}    1.47{col 46}{space 3}0.142{col 54}{space 4}-.0870066{col 67}{space 3} .6054317
{txt}{space 8}yr28 {c |}{col 14}{res}{space 2} .5232598{col 26}{space 2} .1574076{col 37}{space 1}    3.32{col 46}{space 3}0.001{col 54}{space 4} .2147465{col 67}{space 3} .8317731
{txt}{space 8}yr29 {c |}{col 14}{res}{space 2} .5443523{col 26}{space 2} .1700482{col 37}{space 1}    3.20{col 46}{space 3}0.001{col 54}{space 4}  .211064{col 67}{space 3} .8776407
{txt}{space 8}yr30 {c |}{col 14}{res}{space 2} .5476307{col 26}{space 2} .1855963{col 37}{space 1}    2.95{col 46}{space 3}0.003{col 54}{space 4} .1838688{col 67}{space 3} .9113927
{txt}{space 8}yr31 {c |}{col 14}{res}{space 2}-.0513639{col 26}{space 2} .1878063{col 37}{space 1}   -0.27{col 46}{space 3}0.784{col 54}{space 4}-.4194574{col 67}{space 3} .3167296
{txt}{space 8}yr32 {c |}{col 14}{res}{space 2}  .573332{col 26}{space 2} .2138891{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .1541171{col 67}{space 3} .9925469
{txt}{space 8}yr33 {c |}{col 14}{res}{space 2} .2662905{col 26}{space 2} .1993923{col 37}{space 1}    1.34{col 46}{space 3}0.182{col 54}{space 4}-.1245112{col 67}{space 3} .6570923
{txt}{space 8}yr34 {c |}{col 14}{res}{space 2} .3469867{col 26}{space 2} .1713177{col 37}{space 1}    2.03{col 46}{space 3}0.043{col 54}{space 4} .0112102{col 67}{space 3} .6827633
{txt}{space 8}yr35 {c |}{col 14}{res}{space 2} .1533891{col 26}{space 2} .1680613{col 37}{space 1}    0.91{col 46}{space 3}0.361{col 54}{space 4}-.1760049{col 67}{space 3} .4827832
{txt}{space 8}yr36 {c |}{col 14}{res}{space 2}-.2973394{col 26}{space 2}  .164087{col 37}{space 1}   -1.81{col 46}{space 3}0.070{col 54}{space 4}-.6189441{col 67}{space 3} .0242652
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1686572{col 26}{space 2} .1152232{col 37}{space 1}    1.46{col 46}{space 3}0.143{col 54}{space 4}-.0571762{col 67}{space 3} .3944906
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2237.9273}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2237.5498}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2237.5486}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2237.5486}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}    136.34
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2237.5486{txt}{col 49}Pseudo R2{col 67}= {res}    0.0333

{txt}{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        hardtarget{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}{col 20}{res}{space 2}-1.068744{col 32}{space 2} .1824105{col 43}{space 1}   -5.86{col 52}{space 3}0.000{col 60}{space 4}-1.426262{col 73}{space 3}-.7112257
{txt}religious_conflict {c |}{col 20}{res}{space 2} .0789577{col 32}{space 2} .1489539{col 43}{space 1}    0.53{col 52}{space 3}0.596{col 60}{space 4}-.2129866{col 73}{space 3} .3709019
{txt}{space 15}yr6 {c |}{col 20}{res}{space 2}  .211142{col 32}{space 2} .5096032{col 43}{space 1}    0.41{col 52}{space 3}0.679{col 60}{space 4}-.7876619{col 73}{space 3} 1.209946
{txt}{space 15}yr8 {c |}{col 20}{res}{space 2} 1.339854{col 32}{space 2} 1.185963{col 43}{space 1}    1.13{col 52}{space 3}0.259{col 60}{space 4}-.9845905{col 73}{space 3} 3.664298
{txt}{space 14}yr14 {c |}{col 20}{res}{space 2} .9257042{col 32}{space 2} 1.160631{col 43}{space 1}    0.80{col 52}{space 3}0.425{col 60}{space 4}-1.349091{col 73}{space 3} 3.200499
{txt}{space 14}yr15 {c |}{col 20}{res}{space 2}-.1729081{col 32}{space 2}  .716581{col 43}{space 1}   -0.24{col 52}{space 3}0.809{col 60}{space 4}-1.577381{col 73}{space 3} 1.231565
{txt}{space 14}yr16 {c |}{col 20}{res}{space 2} .0502355{col 32}{space 2} .4882707{col 43}{space 1}    0.10{col 52}{space 3}0.918{col 60}{space 4}-.9067574{col 73}{space 3} 1.007228
{txt}{space 14}yr17 {c |}{col 20}{res}{space 2} .4595947{col 32}{space 2} .7172522{col 43}{space 1}    0.64{col 52}{space 3}0.522{col 60}{space 4}-.9461938{col 73}{space 3} 1.865383
{txt}{space 14}yr18 {c |}{col 20}{res}{space 2}-.4605902{col 32}{space 2}  .772558{col 43}{space 1}   -0.60{col 52}{space 3}0.551{col 60}{space 4}-1.974776{col 73}{space 3} 1.053596
{txt}{space 14}yr19 {c |}{col 20}{res}{space 2} .6314386{col 32}{space 2}  .657585{col 43}{space 1}    0.96{col 52}{space 3}0.337{col 60}{space 4}-.6574042{col 73}{space 3} 1.920281
{txt}{space 14}yr20 {c |}{col 20}{res}{space 2} .9377909{col 32}{space 2} .8596384{col 43}{space 1}    1.09{col 52}{space 3}0.275{col 60}{space 4}-.7470695{col 73}{space 3} 2.622651
{txt}{space 14}yr21 {c |}{col 20}{res}{space 2} 1.376517{col 32}{space 2} .5248706{col 43}{space 1}    2.62{col 52}{space 3}0.009{col 60}{space 4} .3477893{col 73}{space 3} 2.405244
{txt}{space 14}yr22 {c |}{col 20}{res}{space 2}-.0060744{col 32}{space 2} .3725475{col 43}{space 1}   -0.02{col 52}{space 3}0.987{col 60}{space 4} -.736254{col 73}{space 3} .7241052
{txt}{space 14}yr23 {c |}{col 20}{res}{space 2}-2.027131{col 32}{space 2} .4944464{col 43}{space 1}   -4.10{col 52}{space 3}0.000{col 60}{space 4}-2.996229{col 73}{space 3}-1.058034
{txt}{space 14}yr24 {c |}{col 20}{res}{space 2} .2833404{col 32}{space 2} .2873346{col 43}{space 1}    0.99{col 52}{space 3}0.324{col 60}{space 4}-.2798251{col 73}{space 3} .8465059
{txt}{space 14}yr25 {c |}{col 20}{res}{space 2}  .746632{col 32}{space 2} .2173764{col 43}{space 1}    3.43{col 52}{space 3}0.001{col 60}{space 4}  .320582{col 73}{space 3} 1.172682
{txt}{space 14}yr26 {c |}{col 20}{res}{space 2} .5782931{col 32}{space 2} .1707639{col 43}{space 1}    3.39{col 52}{space 3}0.001{col 60}{space 4} .2436019{col 73}{space 3} .9129843
{txt}{space 14}yr27 {c |}{col 20}{res}{space 2} .2691617{col 32}{space 2} .1780992{col 43}{space 1}    1.51{col 52}{space 3}0.131{col 60}{space 4}-.0799062{col 73}{space 3} .6182296
{txt}{space 14}yr28 {c |}{col 20}{res}{space 2} .5308022{col 32}{space 2} .1585346{col 43}{space 1}    3.35{col 52}{space 3}0.001{col 60}{space 4} .2200801{col 73}{space 3} .8415243
{txt}{space 14}yr29 {c |}{col 20}{res}{space 2} .5432215{col 32}{space 2} .1700826{col 43}{space 1}    3.19{col 52}{space 3}0.001{col 60}{space 4} .2098657{col 73}{space 3} .8765772
{txt}{space 14}yr30 {c |}{col 20}{res}{space 2} .5475024{col 32}{space 2} .1854905{col 43}{space 1}    2.95{col 52}{space 3}0.003{col 60}{space 4} .1839478{col 73}{space 3} .9110571
{txt}{space 14}yr31 {c |}{col 20}{res}{space 2}-.0497377{col 32}{space 2} .1878374{col 43}{space 1}   -0.26{col 52}{space 3}0.791{col 60}{space 4}-.4178922{col 73}{space 3} .3184167
{txt}{space 14}yr32 {c |}{col 20}{res}{space 2} .5725024{col 32}{space 2}  .213911{col 43}{space 1}    2.68{col 52}{space 3}0.007{col 60}{space 4} .1532445{col 73}{space 3} .9917603
{txt}{space 14}yr33 {c |}{col 20}{res}{space 2}  .265522{col 32}{space 2}  .199241{col 43}{space 1}    1.33{col 52}{space 3}0.183{col 60}{space 4}-.1249831{col 73}{space 3} .6560271
{txt}{space 14}yr34 {c |}{col 20}{res}{space 2} .3439241{col 32}{space 2} .1714419{col 43}{space 1}    2.01{col 52}{space 3}0.045{col 60}{space 4} .0079041{col 73}{space 3}  .679944
{txt}{space 14}yr35 {c |}{col 20}{res}{space 2}   .14969{col 32}{space 2} .1682023{col 43}{space 1}    0.89{col 52}{space 3}0.373{col 60}{space 4}-.1799805{col 73}{space 3} .4793604
{txt}{space 14}yr36 {c |}{col 20}{res}{space 2} -.299482{col 32}{space 2} .1642463{col 43}{space 1}   -1.82{col 52}{space 3}0.068{col 60}{space 4}-.6213988{col 73}{space 3} .0224348
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0939504{col 32}{space 2} .1827947{col 43}{space 1}    0.51{col 52}{space 3}0.607{col 60}{space 4}-.2643206{col 73}{space 3} .4522214
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2217.4953}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2216.8348}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2216.8317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2216.8317}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}29{txt}){col 67}= {res}    163.89
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2216.8317{txt}{col 49}Pseudo R2{col 67}= {res}    0.0423

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-1.071342{col 34}{space 2} .1853147{col 45}{space 1}   -5.78{col 54}{space 3}0.000{col 62}{space 4}-1.434552{col 75}{space 3}-.7081322
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6240828{col 34}{space 2} .2010127{col 45}{space 1}    3.10{col 54}{space 3}0.002{col 62}{space 4} .2301051{col 75}{space 3} 1.018061
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2} -.557517{col 34}{space 2} .1914999{col 45}{space 1}   -2.91{col 54}{space 3}0.004{col 62}{space 4}-.9328498{col 75}{space 3}-.1821841
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3775915{col 34}{space 2} .0792051{col 45}{space 1}   -4.77{col 54}{space 3}0.000{col 62}{space 4}-.5328306{col 75}{space 3}-.2223523
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.0545831{col 34}{space 2} .5321039{col 45}{space 1}   -0.10{col 54}{space 3}0.918{col 62}{space 4}-1.097488{col 75}{space 3} .9883214
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.439168{col 34}{space 2} 1.268644{col 45}{space 1}    1.13{col 54}{space 3}0.257{col 62}{space 4}-1.047327{col 75}{space 3} 3.925664
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2} .4189258{col 34}{space 2} 1.109518{col 45}{space 1}    0.38{col 54}{space 3}0.706{col 62}{space 4} -1.75569{col 75}{space 3} 2.593541
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.4641486{col 34}{space 2} .6979917{col 45}{space 1}   -0.66{col 54}{space 3}0.506{col 62}{space 4}-1.832187{col 75}{space 3} .9038899
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.4387611{col 34}{space 2} .5059323{col 45}{space 1}   -0.87{col 54}{space 3}0.386{col 62}{space 4} -1.43037{col 75}{space 3} .5528481
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .1231679{col 34}{space 2} .8006927{col 45}{space 1}    0.15{col 54}{space 3}0.878{col 62}{space 4}-1.446161{col 75}{space 3} 1.692497
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-1.032587{col 34}{space 2} .7184351{col 45}{space 1}   -1.44{col 54}{space 3}0.151{col 62}{space 4}-2.440694{col 75}{space 3} .3755202
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} .1388566{col 34}{space 2} .6633601{col 45}{space 1}    0.21{col 54}{space 3}0.834{col 62}{space 4}-1.161305{col 75}{space 3} 1.439018
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .3826388{col 34}{space 2} .8330491{col 45}{space 1}    0.46{col 54}{space 3}0.646{col 62}{space 4}-1.250107{col 75}{space 3} 2.015385
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .9060331{col 34}{space 2} .5523786{col 45}{space 1}    1.64{col 54}{space 3}0.101{col 62}{space 4}-.1766092{col 75}{space 3} 1.988675
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.2027755{col 34}{space 2} .3989682{col 45}{space 1}   -0.51{col 54}{space 3}0.611{col 62}{space 4}-.9847388{col 75}{space 3} .5791878
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-2.238853{col 34}{space 2} .4997094{col 45}{space 1}   -4.48{col 54}{space 3}0.000{col 62}{space 4}-3.218265{col 75}{space 3}-1.259441
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} .0819525{col 34}{space 2} .2904785{col 45}{space 1}    0.28{col 54}{space 3}0.778{col 62}{space 4} -.487375{col 75}{space 3}   .65128
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} .6839344{col 34}{space 2} .2227762{col 45}{space 1}    3.07{col 54}{space 3}0.002{col 62}{space 4}  .247301{col 75}{space 3} 1.120568
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .5282879{col 34}{space 2} .1742399{col 45}{space 1}    3.03{col 54}{space 3}0.002{col 62}{space 4} .1867839{col 75}{space 3} .8697919
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .2156474{col 34}{space 2} .1786695{col 45}{space 1}    1.21{col 54}{space 3}0.227{col 62}{space 4}-.1345383{col 75}{space 3} .5658331
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .5056327{col 34}{space 2} .1573161{col 45}{space 1}    3.21{col 54}{space 3}0.001{col 62}{space 4} .1972988{col 75}{space 3} .8139667
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .4950148{col 34}{space 2} .1711414{col 45}{space 1}    2.89{col 54}{space 3}0.004{col 62}{space 4} .1595837{col 75}{space 3} .8304458
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .4142372{col 34}{space 2} .1866978{col 45}{space 1}    2.22{col 54}{space 3}0.027{col 62}{space 4} .0483162{col 75}{space 3} .7801583
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.1680874{col 34}{space 2} .1887127{col 45}{space 1}   -0.89{col 54}{space 3}0.373{col 62}{space 4}-.5379575{col 75}{space 3} .2017827
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .4513932{col 34}{space 2} .2161878{col 45}{space 1}    2.09{col 54}{space 3}0.037{col 62}{space 4} .0276729{col 75}{space 3} .8751135
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .1361857{col 34}{space 2} .2020147{col 45}{space 1}    0.67{col 54}{space 3}0.500{col 62}{space 4}-.2597559{col 75}{space 3} .5321274
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .2857899{col 34}{space 2} .1715314{col 45}{space 1}    1.67{col 54}{space 3}0.096{col 62}{space 4}-.0504054{col 75}{space 3} .6219852
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} .0799723{col 34}{space 2} .1688441{col 45}{space 1}    0.47{col 54}{space 3}0.636{col 62}{space 4} -.250956{col 75}{space 3} .4109006
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3587679{col 34}{space 2} .1661722{col 45}{space 1}   -2.16{col 54}{space 3}0.031{col 62}{space 4}-.6844594{col 75}{space 3}-.0330764
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .353819{col 34}{space 2} .1945213{col 45}{space 1}    1.82{col 54}{space 3}0.069{col 62}{space 4}-.0274358{col 75}{space 3} .7350739
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, robust

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2198.5532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2197.7815}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2197.7812}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2197.7812}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}    203.10
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2197.7812{txt}{col 49}Pseudo R2{col 67}= {res}    0.0505

{txt}{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-1.084262{col 34}{space 2} .1860263{col 45}{space 1}   -5.83{col 54}{space 3}0.000{col 62}{space 4}-1.448867{col 75}{space 3}-.7196573
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .5594544{col 34}{space 2} .2003583{col 45}{space 1}    2.79{col 54}{space 3}0.005{col 62}{space 4} .1667594{col 75}{space 3} .9521495
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.6994895{col 34}{space 2} .1955139{col 45}{space 1}   -3.58{col 54}{space 3}0.000{col 62}{space 4} -1.08269{col 75}{space 3}-.3162893
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.1620075{col 34}{space 2} .1221238{col 45}{space 1}   -1.33{col 54}{space 3}0.185{col 62}{space 4}-.4013657{col 75}{space 3} .0773507
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6750098{col 34}{space 2} .1117039{col 45}{space 1}    6.04{col 54}{space 3}0.000{col 62}{space 4} .4560742{col 75}{space 3} .8939454
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2}-.3547047{col 34}{space 2} .1268532{col 45}{space 1}   -2.80{col 54}{space 3}0.005{col 62}{space 4}-.6033324{col 75}{space 3} -.106077
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.1846857{col 34}{space 2} .5416921{col 45}{space 1}   -0.34{col 54}{space 3}0.733{col 62}{space 4}-1.246383{col 75}{space 3} .8770113
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.380019{col 34}{space 2} 1.277087{col 45}{space 1}    1.08{col 54}{space 3}0.280{col 62}{space 4}-1.123025{col 75}{space 3} 3.883064
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2} .4727364{col 34}{space 2} 1.030159{col 45}{space 1}    0.46{col 54}{space 3}0.646{col 62}{space 4}-1.546338{col 75}{space 3} 2.491811
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5475815{col 34}{space 2} .6848409{col 45}{space 1}   -0.80{col 54}{space 3}0.424{col 62}{space 4}-1.889845{col 75}{space 3} .7946819
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.5478655{col 34}{space 2} .5001632{col 45}{space 1}   -1.10{col 54}{space 3}0.273{col 62}{space 4}-1.528167{col 75}{space 3} .4324364
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .0596107{col 34}{space 2} .7970924{col 45}{space 1}    0.07{col 54}{space 3}0.940{col 62}{space 4}-1.502662{col 75}{space 3} 1.621883
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-1.113252{col 34}{space 2} .7082324{col 45}{space 1}   -1.57{col 54}{space 3}0.116{col 62}{space 4}-2.501362{col 75}{space 3} .2748583
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.0106811{col 34}{space 2} .6591576{col 45}{space 1}   -0.02{col 54}{space 3}0.987{col 62}{space 4}-1.302606{col 75}{space 3} 1.281244
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .2451559{col 34}{space 2} .8474903{col 45}{space 1}    0.29{col 54}{space 3}0.772{col 62}{space 4}-1.415895{col 75}{space 3} 1.906206
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .8322382{col 34}{space 2} .5581163{col 45}{space 1}    1.49{col 54}{space 3}0.136{col 62}{space 4}-.2616497{col 75}{space 3} 1.926126
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.3208493{col 34}{space 2} .3823045{col 45}{space 1}   -0.84{col 54}{space 3}0.401{col 62}{space 4}-1.070152{col 75}{space 3} .4284537
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-2.260013{col 34}{space 2} .4979945{col 45}{space 1}   -4.54{col 54}{space 3}0.000{col 62}{space 4}-3.236064{col 75}{space 3}-1.283962
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.1511479{col 34}{space 2} .2864758{col 45}{space 1}   -0.53{col 54}{space 3}0.598{col 62}{space 4}-.7126301{col 75}{space 3} .4103343
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}  .293159{col 34}{space 2} .2344559{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4}-.1663661{col 75}{space 3} .7526842
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .0630982{col 34}{space 2} .1986597{col 45}{space 1}    0.32{col 54}{space 3}0.751{col 62}{space 4}-.3262676{col 75}{space 3} .4524641
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.2874926{col 34}{space 2} .2023466{col 45}{space 1}   -1.42{col 54}{space 3}0.155{col 62}{space 4}-.6840846{col 75}{space 3} .1090995
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}   .03891{col 34}{space 2} .1793599{col 45}{space 1}    0.22{col 54}{space 3}0.828{col 62}{space 4} -.312629{col 75}{space 3}  .390449
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .0602571{col 34}{space 2} .1882044{col 45}{space 1}    0.32{col 54}{space 3}0.749{col 62}{space 4}-.3086168{col 75}{space 3} .4291309
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .0790042{col 34}{space 2} .1964254{col 45}{space 1}    0.40{col 54}{space 3}0.688{col 62}{space 4}-.3059825{col 75}{space 3} .4639908
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.2952972{col 34}{space 2} .1955945{col 45}{space 1}   -1.51{col 54}{space 3}0.131{col 62}{space 4}-.6786553{col 75}{space 3} .0880609
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .1975937{col 34}{space 2} .2278109{col 45}{space 1}    0.87{col 54}{space 3}0.386{col 62}{space 4}-.2489074{col 75}{space 3} .6440947
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0174088{col 34}{space 2} .2085647{col 45}{space 1}   -0.08{col 54}{space 3}0.933{col 62}{space 4} -.426188{col 75}{space 3} .3913705
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .2510716{col 34}{space 2} .1736857{col 45}{space 1}    1.45{col 54}{space 3}0.148{col 62}{space 4}-.0893461{col 75}{space 3} .5914892
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} .1313941{col 34}{space 2} .1700942{col 45}{space 1}    0.77{col 54}{space 3}0.440{col 62}{space 4}-.2019843{col 75}{space 3} .4647725
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3482178{col 34}{space 2} .1666171{col 45}{space 1}   -2.09{col 54}{space 3}0.037{col 62}{space 4}-.6747813{col 75}{space 3}-.0216543
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5563332{col 34}{space 2} .2034647{col 45}{space 1}    2.73{col 54}{space 3}0.006{col 62}{space 4} .1575497{col 75}{space 3} .9551167
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female /*religious_conflict Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2238.0745}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2237.6977}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2237.6965}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2237.6965}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}26{txt}){col 67}= {res}   1940.70
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2237.6965{txt}{col 49}Pseudo R2{col 67}= {res}    0.0333

{txt}{ralign 78:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 13}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 14}{c |}{col 26}    Robust
{col 1}  hardtarget{col 14}{c |}      Coef.{col 26}   Std. Err.{col 38}      z{col 46}   P>|z|{col 54}     [95% Con{col 67}f. Interval]
{hline 13}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 6}female {c |}{col 14}{res}{space 2}-1.070647{col 26}{space 2} .1931151{col 37}{space 1}   -5.54{col 46}{space 3}0.000{col 54}{space 4}-1.449145{col 67}{space 3}-.6921481
{txt}{space 9}yr6 {c |}{col 14}{res}{space 2} .1720008{col 26}{space 2} .3440035{col 37}{space 1}    0.50{col 46}{space 3}0.617{col 54}{space 4}-.5022338{col 67}{space 3} .8462353
{txt}{space 9}yr8 {c |}{col 14}{res}{space 2}  1.28538{col 26}{space 2} .5194921{col 37}{space 1}    2.47{col 46}{space 3}0.013{col 54}{space 4} .2671939{col 67}{space 3} 2.303566
{txt}{space 8}yr14 {c |}{col 14}{res}{space 2} .9299551{col 26}{space 2} 1.116257{col 37}{space 1}    0.83{col 46}{space 3}0.405{col 54}{space 4}-1.257869{col 67}{space 3} 3.117779
{txt}{space 8}yr15 {c |}{col 14}{res}{space 2}-.1686572{col 26}{space 2} .8187106{col 37}{space 1}   -0.21{col 46}{space 3}0.837{col 54}{space 4}  -1.7733{col 67}{space 3} 1.435986
{txt}{space 8}yr16 {c |}{col 14}{res}{space 2} .0544863{col 26}{space 2} .7347516{col 37}{space 1}    0.07{col 46}{space 3}0.941{col 54}{space 4}  -1.3856{col 67}{space 3} 1.494573
{txt}{space 8}yr17 {c |}{col 14}{res}{space 2}   .44425{col 26}{space 2} 1.006539{col 37}{space 1}    0.44{col 46}{space 3}0.659{col 54}{space 4}-1.528531{col 67}{space 3} 2.417031
{txt}{space 8}yr18 {c |}{col 14}{res}{space 2}-.4563393{col 26}{space 2} 1.077065{col 37}{space 1}   -0.42{col 46}{space 3}0.672{col 54}{space 4}-2.567348{col 67}{space 3} 1.654669
{txt}{space 8}yr19 {c |}{col 14}{res}{space 2} .6227087{col 26}{space 2} .7660725{col 37}{space 1}    0.81{col 46}{space 3}0.416{col 54}{space 4}-.8787658{col 67}{space 3} 2.124183
{txt}{space 8}yr20 {c |}{col 14}{res}{space 2} .9187877{col 26}{space 2} .3429003{col 37}{space 1}    2.68{col 46}{space 3}0.007{col 54}{space 4} .2467155{col 67}{space 3}  1.59086
{txt}{space 8}yr21 {c |}{col 14}{res}{space 2} 1.381114{col 26}{space 2} .7086581{col 37}{space 1}    1.95{col 46}{space 3}0.051{col 54}{space 4}  -.00783{col 67}{space 3} 2.770059
{txt}{space 8}yr22 {c |}{col 14}{res}{space 2}-.0117219{col 26}{space 2} .7448989{col 37}{space 1}   -0.02{col 46}{space 3}0.987{col 54}{space 4}-1.471697{col 67}{space 3} 1.448253
{txt}{space 8}yr23 {c |}{col 14}{res}{space 2}-2.024955{col 26}{space 2} 1.107619{col 37}{space 1}   -1.83{col 46}{space 3}0.068{col 54}{space 4}-4.195848{col 67}{space 3} .1459373
{txt}{space 8}yr24 {c |}{col 14}{res}{space 2} .2877659{col 26}{space 2} .8997859{col 37}{space 1}    0.32{col 46}{space 3}0.749{col 54}{space 4}-1.475782{col 67}{space 3} 2.051314
{txt}{space 8}yr25 {c |}{col 14}{res}{space 2}  .742004{col 26}{space 2} .5384717{col 37}{space 1}    1.38{col 46}{space 3}0.168{col 54}{space 4}-.3133811{col 67}{space 3} 1.797389
{txt}{space 8}yr26 {c |}{col 14}{res}{space 2} .5784069{col 26}{space 2}  .412293{col 37}{space 1}    1.40{col 46}{space 3}0.161{col 54}{space 4}-.2296726{col 67}{space 3} 1.386486
{txt}{space 8}yr27 {c |}{col 14}{res}{space 2} .2592126{col 26}{space 2} .2385648{col 37}{space 1}    1.09{col 46}{space 3}0.277{col 54}{space 4}-.2083658{col 67}{space 3} .7267909
{txt}{space 8}yr28 {c |}{col 14}{res}{space 2} .5232598{col 26}{space 2} .2774123{col 37}{space 1}    1.89{col 46}{space 3}0.059{col 54}{space 4}-.0204584{col 67}{space 3} 1.066978
{txt}{space 8}yr29 {c |}{col 14}{res}{space 2} .5443523{col 26}{space 2} .2983727{col 37}{space 1}    1.82{col 46}{space 3}0.068{col 54}{space 4}-.0404474{col 67}{space 3} 1.129152
{txt}{space 8}yr30 {c |}{col 14}{res}{space 2} .5476307{col 26}{space 2} .3656626{col 37}{space 1}    1.50{col 46}{space 3}0.134{col 54}{space 4}-.1690548{col 67}{space 3} 1.264316
{txt}{space 8}yr31 {c |}{col 14}{res}{space 2}-.0513639{col 26}{space 2} .2873311{col 37}{space 1}   -0.18{col 46}{space 3}0.858{col 54}{space 4}-.6145225{col 67}{space 3} .5117946
{txt}{space 8}yr32 {c |}{col 14}{res}{space 2}  .573332{col 26}{space 2} .3407988{col 37}{space 1}    1.68{col 46}{space 3}0.093{col 54}{space 4}-.0946213{col 67}{space 3} 1.241285
{txt}{space 8}yr33 {c |}{col 14}{res}{space 2} .2662905{col 26}{space 2} .3734609{col 37}{space 1}    0.71{col 46}{space 3}0.476{col 54}{space 4}-.4656794{col 67}{space 3} .9982605
{txt}{space 8}yr34 {c |}{col 14}{res}{space 2} .3469867{col 26}{space 2}  .268593{col 37}{space 1}    1.29{col 46}{space 3}0.196{col 54}{space 4}-.1794459{col 67}{space 3} .8734193
{txt}{space 8}yr35 {c |}{col 14}{res}{space 2} .1533891{col 26}{space 2} .3016381{col 37}{space 1}    0.51{col 46}{space 3}0.611{col 54}{space 4}-.4378107{col 67}{space 3}  .744589
{txt}{space 8}yr36 {c |}{col 14}{res}{space 2}-.2973394{col 26}{space 2} .4239933{col 37}{space 1}   -0.70{col 46}{space 3}0.483{col 54}{space 4}-1.128351{col 67}{space 3} .5336722
{txt}{space 7}_cons {c |}{col 14}{res}{space 2} .1686572{col 26}{space 2} .2539564{col 37}{space 1}    0.66{col 46}{space 3}0.507{col 54}{space 4}-.3290881{col 67}{space 3} .6664025
{txt}{hline 13}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict /*Muslim_organization foreign_organization   f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2237.9273}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2237.5498}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2237.5486}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2237.5486}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}27{txt}){col 67}= {res}   1990.24
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2237.5486{txt}{col 49}Pseudo R2{col 67}= {res}    0.0333

{txt}{ralign 84:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 19}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 20}{c |}{col 32}    Robust
{col 1}        hardtarget{col 20}{c |}      Coef.{col 32}   Std. Err.{col 44}      z{col 52}   P>|z|{col 60}     [95% Con{col 73}f. Interval]
{hline 19}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 12}female {c |}{col 20}{res}{space 2}-1.068744{col 32}{space 2} .1958124{col 43}{space 1}   -5.46{col 52}{space 3}0.000{col 60}{space 4}-1.452529{col 73}{space 3}-.6849585
{txt}religious_conflict {c |}{col 20}{res}{space 2} .0789577{col 32}{space 2}  .507502{col 43}{space 1}    0.16{col 52}{space 3}0.876{col 60}{space 4} -.915728{col 73}{space 3} 1.073643
{txt}{space 15}yr6 {c |}{col 20}{res}{space 2}  .211142{col 32}{space 2} .3350424{col 43}{space 1}    0.63{col 52}{space 3}0.529{col 60}{space 4} -.445529{col 73}{space 3}  .867813
{txt}{space 15}yr8 {c |}{col 20}{res}{space 2} 1.339854{col 32}{space 2}  .564327{col 43}{space 1}    2.37{col 52}{space 3}0.018{col 60}{space 4} .2337933{col 73}{space 3} 2.445915
{txt}{space 14}yr14 {c |}{col 20}{res}{space 2} .9257042{col 32}{space 2} 1.097342{col 43}{space 1}    0.84{col 52}{space 3}0.399{col 60}{space 4}-1.225047{col 73}{space 3} 3.076455
{txt}{space 14}yr15 {c |}{col 20}{res}{space 2}-.1729081{col 32}{space 2} .8191519{col 43}{space 1}   -0.21{col 52}{space 3}0.833{col 60}{space 4}-1.778416{col 73}{space 3}   1.4326
{txt}{space 14}yr16 {c |}{col 20}{res}{space 2} .0502355{col 32}{space 2} .7359737{col 43}{space 1}    0.07{col 52}{space 3}0.946{col 60}{space 4}-1.392247{col 73}{space 3} 1.492717
{txt}{space 14}yr17 {c |}{col 20}{res}{space 2} .4595947{col 32}{space 2} .9986118{col 43}{space 1}    0.46{col 52}{space 3}0.645{col 60}{space 4}-1.497649{col 73}{space 3} 2.416838
{txt}{space 14}yr18 {c |}{col 20}{res}{space 2}-.4605902{col 32}{space 2} 1.075647{col 43}{space 1}   -0.43{col 52}{space 3}0.669{col 60}{space 4} -2.56882{col 73}{space 3}  1.64764
{txt}{space 14}yr19 {c |}{col 20}{res}{space 2} .6314386{col 32}{space 2} .7475076{col 43}{space 1}    0.84{col 52}{space 3}0.398{col 60}{space 4}-.8336493{col 73}{space 3} 2.096527
{txt}{space 14}yr20 {c |}{col 20}{res}{space 2} .9377909{col 32}{space 2} .2944363{col 43}{space 1}    3.19{col 52}{space 3}0.001{col 60}{space 4} .3607064{col 73}{space 3} 1.514875
{txt}{space 14}yr21 {c |}{col 20}{res}{space 2} 1.376517{col 32}{space 2} .7210097{col 43}{space 1}    1.91{col 52}{space 3}0.056{col 60}{space 4}-.0366364{col 73}{space 3}  2.78967
{txt}{space 14}yr22 {c |}{col 20}{res}{space 2}-.0060744{col 32}{space 2} .7482288{col 43}{space 1}   -0.01{col 52}{space 3}0.994{col 60}{space 4}-1.472576{col 73}{space 3} 1.460427
{txt}{space 14}yr23 {c |}{col 20}{res}{space 2}-2.027131{col 32}{space 2} 1.108754{col 43}{space 1}   -1.83{col 52}{space 3}0.068{col 60}{space 4}-4.200249{col 73}{space 3} .1459864
{txt}{space 14}yr24 {c |}{col 20}{res}{space 2} .2833404{col 32}{space 2} .9165405{col 43}{space 1}    0.31{col 52}{space 3}0.757{col 60}{space 4}-1.513046{col 73}{space 3} 2.079727
{txt}{space 14}yr25 {c |}{col 20}{res}{space 2}  .746632{col 32}{space 2} .5200652{col 43}{space 1}    1.44{col 52}{space 3}0.151{col 60}{space 4}-.2726771{col 73}{space 3} 1.765941
{txt}{space 14}yr26 {c |}{col 20}{res}{space 2} .5782931{col 32}{space 2} .4133747{col 43}{space 1}    1.40{col 52}{space 3}0.162{col 60}{space 4}-.2319064{col 73}{space 3} 1.388493
{txt}{space 14}yr27 {c |}{col 20}{res}{space 2} .2691617{col 32}{space 2}  .249343{col 43}{space 1}    1.08{col 52}{space 3}0.280{col 60}{space 4}-.2195416{col 73}{space 3}  .757865
{txt}{space 14}yr28 {c |}{col 20}{res}{space 2} .5308022{col 32}{space 2} .3104755{col 43}{space 1}    1.71{col 52}{space 3}0.087{col 60}{space 4}-.0777186{col 73}{space 3} 1.139323
{txt}{space 14}yr29 {c |}{col 20}{res}{space 2} .5432215{col 32}{space 2} .2963937{col 43}{space 1}    1.83{col 52}{space 3}0.067{col 60}{space 4}-.0376996{col 73}{space 3} 1.124143
{txt}{space 14}yr30 {c |}{col 20}{res}{space 2} .5475024{col 32}{space 2} .3650302{col 43}{space 1}    1.50{col 52}{space 3}0.134{col 60}{space 4}-.1679435{col 73}{space 3} 1.262948
{txt}{space 14}yr31 {c |}{col 20}{res}{space 2}-.0497377{col 32}{space 2} .2845858{col 43}{space 1}   -0.17{col 52}{space 3}0.861{col 60}{space 4}-.6075157{col 73}{space 3} .5080403
{txt}{space 14}yr32 {c |}{col 20}{res}{space 2} .5725024{col 32}{space 2} .3429828{col 43}{space 1}    1.67{col 52}{space 3}0.095{col 60}{space 4}-.0997315{col 73}{space 3} 1.244736
{txt}{space 14}yr33 {c |}{col 20}{res}{space 2}  .265522{col 32}{space 2} .3727017{col 43}{space 1}    0.71{col 52}{space 3}0.476{col 60}{space 4}  -.46496{col 73}{space 3} .9960039
{txt}{space 14}yr34 {c |}{col 20}{res}{space 2} .3439241{col 32}{space 2} .2694037{col 43}{space 1}    1.28{col 52}{space 3}0.202{col 60}{space 4}-.1840974{col 73}{space 3} .8719455
{txt}{space 14}yr35 {c |}{col 20}{res}{space 2}   .14969{col 32}{space 2} .3039373{col 43}{space 1}    0.49{col 52}{space 3}0.622{col 60}{space 4}-.4460162{col 73}{space 3} .7453961
{txt}{space 14}yr36 {c |}{col 20}{res}{space 2} -.299482{col 32}{space 2} .4292866{col 43}{space 1}   -0.70{col 52}{space 3}0.485{col 60}{space 4}-1.140868{col 73}{space 3} .5419043
{txt}{space 13}_cons {c |}{col 20}{res}{space 2} .0939504{col 32}{space 2} .4155531{col 43}{space 1}    0.23{col 52}{space 3}0.821{col 60}{space 4}-.7205187{col 73}{space 3} .9084195
{txt}{hline 19}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /*  f_occupation iraqsyria*/ ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2217.4953}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2216.8348}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2216.8317}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2216.8317}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}29{txt}){col 67}= {res}   7137.12
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2216.8317{txt}{col 49}Pseudo R2{col 67}= {res}    0.0423

{txt}{ralign 86:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-1.071342{col 34}{space 2} .2161708{col 45}{space 1}   -4.96{col 54}{space 3}0.000{col 62}{space 4}-1.495029{col 75}{space 3}-.6476553
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .6240828{col 34}{space 2} .4988329{col 45}{space 1}    1.25{col 54}{space 3}0.211{col 62}{space 4}-.3536117{col 75}{space 3} 1.601777
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2} -.557517{col 34}{space 2}  .320424{col 45}{space 1}   -1.74{col 54}{space 3}0.082{col 62}{space 4}-1.185536{col 75}{space 3} .0705025
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.3775915{col 34}{space 2} .2779848{col 45}{space 1}   -1.36{col 54}{space 3}0.174{col 62}{space 4}-.9224316{col 75}{space 3} .1672486
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.0545831{col 34}{space 2} .3197097{col 45}{space 1}   -0.17{col 54}{space 3}0.864{col 62}{space 4}-.6812026{col 75}{space 3} .5720363
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.439168{col 34}{space 2} .5660215{col 45}{space 1}    2.54{col 54}{space 3}0.011{col 62}{space 4} .3297864{col 75}{space 3}  2.54855
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2} .4189258{col 34}{space 2} 1.075727{col 45}{space 1}    0.39{col 54}{space 3}0.697{col 62}{space 4} -1.68946{col 75}{space 3} 2.527311
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.4641486{col 34}{space 2} .7623749{col 45}{space 1}   -0.61{col 54}{space 3}0.543{col 62}{space 4}-1.958376{col 75}{space 3} 1.030079
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.4387611{col 34}{space 2} .6739763{col 45}{space 1}   -0.65{col 54}{space 3}0.515{col 62}{space 4} -1.75973{col 75}{space 3} .8822082
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .1231679{col 34}{space 2} 1.128802{col 45}{space 1}    0.11{col 54}{space 3}0.913{col 62}{space 4}-2.089243{col 75}{space 3} 2.335579
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-1.032587{col 34}{space 2}   .93156{col 45}{space 1}   -1.11{col 54}{space 3}0.268{col 62}{space 4}-2.858411{col 75}{space 3} .7932373
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2} .1388566{col 34}{space 2} .6467996{col 45}{space 1}    0.21{col 54}{space 3}0.830{col 62}{space 4}-1.128847{col 75}{space 3} 1.406561
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .3826388{col 34}{space 2} .4414754{col 45}{space 1}    0.87{col 54}{space 3}0.386{col 62}{space 4} -.482637{col 75}{space 3} 1.247915
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .9060331{col 34}{space 2} .8877161{col 45}{space 1}    1.02{col 54}{space 3}0.307{col 62}{space 4}-.8338586{col 75}{space 3} 2.645925
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.2027755{col 34}{space 2} .7682994{col 45}{space 1}   -0.26{col 54}{space 3}0.792{col 62}{space 4}-1.708615{col 75}{space 3} 1.303064
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-2.238853{col 34}{space 2} 1.108118{col 45}{space 1}   -2.02{col 54}{space 3}0.043{col 62}{space 4}-4.410724{col 75}{space 3}-.0669826
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2} .0819525{col 34}{space 2}  .880292{col 45}{space 1}    0.09{col 54}{space 3}0.926{col 62}{space 4}-1.643388{col 75}{space 3} 1.807293
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2} .6839344{col 34}{space 2} .5282671{col 45}{space 1}    1.29{col 54}{space 3}0.195{col 62}{space 4}-.3514502{col 75}{space 3} 1.719319
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .5282879{col 34}{space 2} .3884489{col 45}{space 1}    1.36{col 54}{space 3}0.174{col 62}{space 4} -.233058{col 75}{space 3} 1.289634
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2} .2156474{col 34}{space 2} .2554376{col 45}{space 1}    0.84{col 54}{space 3}0.399{col 62}{space 4}-.2850011{col 75}{space 3} .7162959
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2} .5056327{col 34}{space 2} .2862119{col 45}{space 1}    1.77{col 54}{space 3}0.077{col 62}{space 4}-.0553323{col 75}{space 3} 1.066598
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .4950148{col 34}{space 2} .2849372{col 45}{space 1}    1.74{col 54}{space 3}0.082{col 62}{space 4}-.0634518{col 75}{space 3} 1.053481
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .4142372{col 34}{space 2}  .336028{col 45}{space 1}    1.23{col 54}{space 3}0.218{col 62}{space 4}-.2443656{col 75}{space 3}  1.07284
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.1680874{col 34}{space 2} .2857497{col 45}{space 1}   -0.59{col 54}{space 3}0.556{col 62}{space 4}-.7281466{col 75}{space 3} .3919718
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .4513932{col 34}{space 2} .3540923{col 45}{space 1}    1.27{col 54}{space 3}0.202{col 62}{space 4}-.2426149{col 75}{space 3} 1.145401
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2} .1361857{col 34}{space 2} .3333766{col 45}{space 1}    0.41{col 54}{space 3}0.683{col 62}{space 4}-.5172204{col 75}{space 3} .7895919
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .2857899{col 34}{space 2} .2723035{col 45}{space 1}    1.05{col 54}{space 3}0.294{col 62}{space 4}-.2479152{col 75}{space 3}  .819495
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} .0799723{col 34}{space 2} .2907911{col 45}{space 1}    0.28{col 54}{space 3}0.783{col 62}{space 4}-.4899678{col 75}{space 3} .6499124
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3587679{col 34}{space 2} .4217705{col 45}{space 1}   -0.85{col 54}{space 3}0.395{col 62}{space 4}-1.185423{col 75}{space 3}  .467887
{txt}{space 15}_cons {c |}{col 22}{res}{space 2}  .353819{col 34}{space 2} .3632385{col 45}{space 1}    0.97{col 54}{space 3}0.330{col 62}{space 4}-.3581153{col 75}{space 3} 1.065753
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. logit hardtarget       female religious_conflict Muslim_organization foreign_organization /* */ f_occupation iraqsyria ///
>                        /*yr1 yr2 yr3 yr4 yr5*/ yr6 /*yr7*/ yr8 /*yr9 yr10*/ ///
>                                            /*yr11 yr12 yr13*/ yr14 yr15 yr16 yr17 yr18 yr19 yr20 ///
>                                            yr21 yr22 yr23 yr24 yr25 yr26 yr27 yr28 yr29 yr30 ///
>                                            yr31 yr32 yr33 yr34 yr35 yr36 /*yr37*/, vce(cluster ccode)

{res}{txt}Iteration 0:{space 3}log pseudolikelihood = {res:-2314.7197}  
Iteration 1:{space 3}log pseudolikelihood = {res:-2198.5532}  
Iteration 2:{space 3}log pseudolikelihood = {res:-2197.7815}  
Iteration 3:{space 3}log pseudolikelihood = {res:-2197.7812}  
Iteration 4:{space 3}log pseudolikelihood = {res:-2197.7812}  
{res}
{txt}Logistic regression{col 49}Number of obs{col 67}= {res}     3,436
{txt}{col 49}Wald chi2({res}31{txt}){col 67}= {res}  18362.75
{txt}{col 49}Prob > chi2{col 67}= {res}    0.0000
{txt}Log pseudolikelihood = {res}-2197.7812{txt}{col 49}Pseudo R2{col 67}= {res}    0.0505

{txt}{ralign 86:(Std. Err. adjusted for {res:47} clusters in ccode)}
{hline 21}{c TT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{col 22}{c |}{col 34}    Robust
{col 1}          hardtarget{col 22}{c |}      Coef.{col 34}   Std. Err.{col 46}      z{col 54}   P>|z|{col 62}     [95% Con{col 75}f. Interval]
{hline 21}{c +}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}
{space 14}female {c |}{col 22}{res}{space 2}-1.084262{col 34}{space 2} .2176856{col 45}{space 1}   -4.98{col 54}{space 3}0.000{col 62}{space 4}-1.510918{col 75}{space 3}-.6576062
{txt}{space 2}religious_conflict {c |}{col 22}{res}{space 2} .5594544{col 34}{space 2} .4993116{col 45}{space 1}    1.12{col 54}{space 3}0.263{col 62}{space 4}-.4191783{col 75}{space 3} 1.538087
{txt}{space 1}Muslim_organization {c |}{col 22}{res}{space 2}-.6994895{col 34}{space 2} .3283625{col 45}{space 1}   -2.13{col 54}{space 3}0.033{col 62}{space 4}-1.343068{col 75}{space 3}-.0559107
{txt}foreign_organization {c |}{col 22}{res}{space 2}-.1620075{col 34}{space 2} .2509907{col 45}{space 1}   -0.65{col 54}{space 3}0.519{col 62}{space 4}-.6539403{col 75}{space 3} .3299253
{txt}{space 8}f_occupation {c |}{col 22}{res}{space 2} .6750098{col 34}{space 2} .1999756{col 45}{space 1}    3.38{col 54}{space 3}0.001{col 62}{space 4} .2830649{col 75}{space 3} 1.066955
{txt}{space 11}iraqsyria {c |}{col 22}{res}{space 2}-.3547047{col 34}{space 2}  .155715{col 45}{space 1}   -2.28{col 54}{space 3}0.023{col 62}{space 4}-.6599005{col 75}{space 3}-.0495089
{txt}{space 17}yr6 {c |}{col 22}{res}{space 2}-.1846857{col 34}{space 2} .3114236{col 45}{space 1}   -0.59{col 54}{space 3}0.553{col 62}{space 4}-.7950647{col 75}{space 3} .4256933
{txt}{space 17}yr8 {c |}{col 22}{res}{space 2} 1.380019{col 34}{space 2} .5728037{col 45}{space 1}    2.41{col 54}{space 3}0.016{col 62}{space 4} .2573446{col 75}{space 3} 2.502694
{txt}{space 16}yr14 {c |}{col 22}{res}{space 2} .4727364{col 34}{space 2} 1.011873{col 45}{space 1}    0.47{col 54}{space 3}0.640{col 62}{space 4}-1.510498{col 75}{space 3} 2.455971
{txt}{space 16}yr15 {c |}{col 22}{res}{space 2}-.5475815{col 34}{space 2} .7230768{col 45}{space 1}   -0.76{col 54}{space 3}0.449{col 62}{space 4}-1.964786{col 75}{space 3} .8696229
{txt}{space 16}yr16 {c |}{col 22}{res}{space 2}-.5478655{col 34}{space 2} .6486733{col 45}{space 1}   -0.84{col 54}{space 3}0.398{col 62}{space 4}-1.819242{col 75}{space 3} .7235107
{txt}{space 16}yr17 {c |}{col 22}{res}{space 2} .0596107{col 34}{space 2} 1.126186{col 45}{space 1}    0.05{col 54}{space 3}0.958{col 62}{space 4}-2.147673{col 75}{space 3} 2.266894
{txt}{space 16}yr18 {c |}{col 22}{res}{space 2}-1.113252{col 34}{space 2} .8859195{col 45}{space 1}   -1.26{col 54}{space 3}0.209{col 62}{space 4}-2.849622{col 75}{space 3} .6231187
{txt}{space 16}yr19 {c |}{col 22}{res}{space 2}-.0106811{col 34}{space 2} .6423063{col 45}{space 1}   -0.02{col 54}{space 3}0.987{col 62}{space 4}-1.269578{col 75}{space 3} 1.248216
{txt}{space 16}yr20 {c |}{col 22}{res}{space 2} .2451559{col 34}{space 2} .4750689{col 45}{space 1}    0.52{col 54}{space 3}0.606{col 62}{space 4}-.6859621{col 75}{space 3} 1.176274
{txt}{space 16}yr21 {c |}{col 22}{res}{space 2} .8322382{col 34}{space 2} .9381646{col 45}{space 1}    0.89{col 54}{space 3}0.375{col 62}{space 4}-1.006531{col 75}{space 3} 2.671007
{txt}{space 16}yr22 {c |}{col 22}{res}{space 2}-.3208493{col 34}{space 2} .7304302{col 45}{space 1}   -0.44{col 54}{space 3}0.660{col 62}{space 4}-1.752466{col 75}{space 3} 1.110768
{txt}{space 16}yr23 {c |}{col 22}{res}{space 2}-2.260013{col 34}{space 2} 1.088794{col 45}{space 1}   -2.08{col 54}{space 3}0.038{col 62}{space 4} -4.39401{col 75}{space 3}-.1260157
{txt}{space 16}yr24 {c |}{col 22}{res}{space 2}-.1511479{col 34}{space 2} .8061223{col 45}{space 1}   -0.19{col 54}{space 3}0.851{col 62}{space 4}-1.731119{col 75}{space 3} 1.428823
{txt}{space 16}yr25 {c |}{col 22}{res}{space 2}  .293159{col 34}{space 2} .4648456{col 45}{space 1}    0.63{col 54}{space 3}0.528{col 62}{space 4}-.6179217{col 75}{space 3}  1.20424
{txt}{space 16}yr26 {c |}{col 22}{res}{space 2} .0630982{col 34}{space 2} .3986033{col 45}{space 1}    0.16{col 54}{space 3}0.874{col 62}{space 4}-.7181498{col 75}{space 3} .8443463
{txt}{space 16}yr27 {c |}{col 22}{res}{space 2}-.2874926{col 34}{space 2} .2483486{col 45}{space 1}   -1.16{col 54}{space 3}0.247{col 62}{space 4}-.7742469{col 75}{space 3} .1992618
{txt}{space 16}yr28 {c |}{col 22}{res}{space 2}   .03891{col 34}{space 2}  .345952{col 45}{space 1}    0.11{col 54}{space 3}0.910{col 62}{space 4}-.6391434{col 75}{space 3} .7169634
{txt}{space 16}yr29 {c |}{col 22}{res}{space 2} .0602571{col 34}{space 2}  .277015{col 45}{space 1}    0.22{col 54}{space 3}0.828{col 62}{space 4}-.4826823{col 75}{space 3} .6031964
{txt}{space 16}yr30 {c |}{col 22}{res}{space 2} .0790042{col 34}{space 2} .2694979{col 45}{space 1}    0.29{col 54}{space 3}0.769{col 62}{space 4}-.4492019{col 75}{space 3} .6072103
{txt}{space 16}yr31 {c |}{col 22}{res}{space 2}-.2952972{col 34}{space 2} .3343607{col 45}{space 1}   -0.88{col 54}{space 3}0.377{col 62}{space 4}-.9506321{col 75}{space 3} .3600378
{txt}{space 16}yr32 {c |}{col 22}{res}{space 2} .1975937{col 34}{space 2} .4291199{col 45}{space 1}    0.46{col 54}{space 3}0.645{col 62}{space 4}-.6434658{col 75}{space 3} 1.038653
{txt}{space 16}yr33 {c |}{col 22}{res}{space 2}-.0174088{col 34}{space 2} .3308488{col 45}{space 1}   -0.05{col 54}{space 3}0.958{col 62}{space 4}-.6658605{col 75}{space 3}  .631043
{txt}{space 16}yr34 {c |}{col 22}{res}{space 2} .2510716{col 34}{space 2} .2372667{col 45}{space 1}    1.06{col 54}{space 3}0.290{col 62}{space 4}-.2139626{col 75}{space 3} .7161057
{txt}{space 16}yr35 {c |}{col 22}{res}{space 2} .1313941{col 34}{space 2} .2932248{col 45}{space 1}    0.45{col 54}{space 3}0.654{col 62}{space 4}-.4433159{col 75}{space 3} .7061041
{txt}{space 16}yr36 {c |}{col 22}{res}{space 2}-.3482178{col 34}{space 2} .4229027{col 45}{space 1}   -0.82{col 54}{space 3}0.410{col 62}{space 4}-1.177092{col 75}{space 3} .4806562
{txt}{space 15}_cons {c |}{col 22}{res}{space 2} .5563332{col 34}{space 2} .3654557{col 45}{space 1}    1.52{col 54}{space 3}0.128{col 62}{space 4}-.1599469{col 75}{space 3} 1.272613
{txt}{hline 21}{c BT}{hline 11}{hline 11}{hline 9}{hline 8}{hline 13}{hline 12}

{com}. 
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{txt}end of do-file

{com}. exit, clear
